Datasets:
modelId stringlengths 6 122 | author stringlengths 2 42 | last_modified timestamp[us, tz=UTC]date 2021-02-12 11:31:59 2026-05-05 00:16:30 | downloads int64 0 207M | likes int64 0 13.1k | library_name stringclasses 908
values | tags listlengths 1 4.05k | pipeline_tag stringclasses 55
values | createdAt timestamp[us, tz=UTC]date 2022-03-02 23:29:04 2026-05-05 00:16:19 | card stringlengths 31 1.03M |
|---|---|---|---|---|---|---|---|---|---|
hyperion911/Qwen2.5-Coder-0.5B-Instruct-Gensyn-Swarm-singing_furry_termite | hyperion911 | 2026-01-03T04:36:15 | 1 | 0 | transformers | [
"transformers",
"safetensors",
"qwen2",
"text-generation",
"rl-swarm",
"genrl-swarm",
"grpo",
"gensyn",
"I am singing_furry_termite",
"arxiv:1910.09700",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | 2026-01-03T03:52:44 | ---
library_name: transformers
tags:
- rl-swarm
- genrl-swarm
- grpo
- gensyn
- I am singing_furry_termite
---
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model c... |
arzumanabbasov/DCGAN_CELEBA | arzumanabbasov | 2026-03-18T17:27:09 | 49 | 0 | null | [
"DCGAN",
"pytorch",
"gan",
"dcgan",
"image-generation",
"face-generation",
"celeba",
"dataset:huggan/celeba",
"license:mit",
"region:us"
] | null | 2026-03-18T17:26:58 | ---
license: mit
tags:
- pytorch
- gan
- dcgan
- image-generation
- face-generation
- celeba
datasets:
- huggan/celeba
---
# DCGAN — Human Face Generation (CelebA)
A Deep Convolutional GAN trained on CelebA to generate 64×64 human face images.
## Config
| Property | Value |
|----------|-------|
| Arch... |
mang3dd/blockassist-bc-tangled_slithering_alligator_1762345164 | mang3dd | 2025-11-05T12:38:05 | 0 | 0 | null | [
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"tangled slithering alligator",
"arxiv:2504.07091",
"region:us"
] | null | 2025-11-05T12:38:02 | ---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- tangled slithering alligator
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
enzan9/Qwen3-0.6B-Gensyn-Swarm-skilled_stinky_antelope | enzan9 | 2025-11-06T14:48:56 | 2 | 0 | transformers | [
"transformers",
"safetensors",
"qwen3",
"text-generation",
"rl-swarm",
"genrl-swarm",
"grpo",
"gensyn",
"I am skilled_stinky_antelope",
"arxiv:1910.09700",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | 2025-08-22T18:13:32 | ---
library_name: transformers
tags:
- rl-swarm
- genrl-swarm
- grpo
- gensyn
- I am skilled_stinky_antelope
---
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model... |
vladimirmodylevskii/act_so100_grab_object | vladimirmodylevskii | 2026-01-30T09:53:08 | 0 | 0 | lerobot | [
"lerobot",
"safetensors",
"act",
"robotics",
"dataset:vladimirmodylevskii/so100_grab_object_1",
"arxiv:2304.13705",
"license:apache-2.0",
"region:us"
] | robotics | 2026-01-30T09:52:57 | ---
datasets: vladimirmodylevskii/so100_grab_object_1
library_name: lerobot
license: apache-2.0
model_name: act
pipeline_tag: robotics
tags:
- act
- robotics
- lerobot
---
# Model Card for act
<!-- Provide a quick summary of what the model is/does. -->
[Action Chunking with Transformers (ACT)](https://huggingface.c... |
crystalline7/1531985 | crystalline7 | 2025-10-03T00:30:13 | 0 | 0 | null | [
"region:us"
] | null | 2025-10-03T00:30:13 | [View on Civ Archive](https://civarchive.com/models/447011?modelVersionId=1628527)
|
jabbas/ppo-LunarLander-v2 | jabbas | 2026-03-20T15:28:35 | 23 | 0 | stable-baselines3 | [
"stable-baselines3",
"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | reinforcement-learning | 2026-03-20T15:28:12 | ---
library_name: stable-baselines3
tags:
- LunarLander-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: PPO
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: LunarLander-v2
type: LunarLander-v2
... |
rfuiid8/humanoid-mlm-model | rfuiid8 | 2026-01-25T22:40:28 | 1 | 0 | transformers | [
"transformers",
"tensorboard",
"safetensors",
"gpt2",
"text-generation",
"generated_from_trainer",
"base_model:distilbert/distilgpt2",
"base_model:finetune:distilbert/distilgpt2",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | 2026-01-25T22:40:08 | ---
library_name: transformers
license: apache-2.0
base_model: distilgpt2
tags:
- generated_from_trainer
model-index:
- name: humanoid-mlm-model
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it,... |
amethyst9/917879 | amethyst9 | 2025-10-31T19:56:46 | 0 | 0 | null | [
"region:us"
] | null | 2025-10-31T19:56:41 | [View on Civ Archive](https://civarchive.com/models/902370?modelVersionId=1009753)
|
lukatman/verse-vertebrae-segmentation-nnunet | lukatman | 2026-03-13T15:04:16 | 0 | 0 | null | [
"medical",
"segmentation",
"vertebrae",
"nnunet",
"unet",
"ct",
"image-segmentation",
"license:apache-2.0",
"region:us"
] | image-segmentation | 2026-03-13T13:54:56 | ---
tags:
- medical
- segmentation
- vertebrae
- nnunet
- unet
- ct
license: apache-2.0
pipeline_tag: image-segmentation
---
# Spinal Vertebrae Segmentation — nnUNet Model
Pre-trained nnUNetv2 model for automatic segmentation of 25 vertebrae classes (C1–C7, T1–T12, L1–L6, T13) from CT scans. Trained on th... |
Carnot-EBM/carnot-vjepa-v2 | Carnot-EBM | 2026-04-26T05:26:23 | 0 | 0 | null | [
"safetensors",
"energy-based-model",
"verification",
"llm-output-verification",
"variational-inference",
"jax",
"en",
"license:apache-2.0",
"region:us"
] | null | 2026-04-26T05:26:22 | ---
license: apache-2.0
tags:
- energy-based-model
- verification
- llm-output-verification
- variational-inference
- jax
language:
- en
---
# Carnot VJEPA v2 — Three-Tier LLM Verification
**OOD AUC: 0.9211** | Milestone 2026.04.68 | Apache 2.0
## Overview
VariationalJEPAPredictor is the Tier 2 energy-b... |
oelboussouni11/s2c-adapter | oelboussouni11 | 2026-02-18T15:16:21 | 0 | 0 | peft | [
"peft",
"safetensors",
"base_model:adapter:Qwen/Qwen2.5-VL-7B-Instruct",
"lora",
"sft",
"transformers",
"trl",
"text-generation",
"conversational",
"arxiv:1910.09700",
"base_model:Qwen/Qwen2.5-VL-7B-Instruct",
"region:us"
] | text-generation | 2026-02-18T15:13:12 | ---
base_model: Qwen/Qwen2.5-VL-7B-Instruct
library_name: peft
pipeline_tag: text-generation
tags:
- base_model:adapter:Qwen/Qwen2.5-VL-7B-Instruct
- lora
- sft
- transformers
- trl
---
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!... |
peterrolfes/so101_grab_the_screw_SEE_GREEN | peterrolfes | 2025-11-04T01:36:45 | 0 | 0 | lerobot | [
"lerobot",
"safetensors",
"act",
"robotics",
"dataset:peterrolfes/so101_grab_the_screw_SEE_2",
"arxiv:2304.13705",
"license:apache-2.0",
"region:us"
] | robotics | 2025-11-04T01:36:37 | ---
datasets: peterrolfes/so101_grab_the_screw_SEE_2
library_name: lerobot
license: apache-2.0
model_name: act
pipeline_tag: robotics
tags:
- act
- robotics
- lerobot
---
# Model Card for act
<!-- Provide a quick summary of what the model is/does. -->
[Action Chunking with Transformers (ACT)](https://huggingface.co... |
clakk/hghtf | clakk | 2025-12-25T00:57:52 | 0 | 1 | null | [
"license:bigcode-openrail-m",
"region:us"
] | null | 2025-12-25T00:57:52 | ---
license: bigcode-openrail-m
---
|
Stalemartyr/finetune_fast_dLLM_1.5B_v2 | Stalemartyr | 2026-03-12T13:23:37 | 39 | 0 | transformers | [
"transformers",
"safetensors",
"Fast_dLLM_Qwen",
"text-generation",
"generated_from_trainer",
"conversational",
"custom_code",
"dataset:customized",
"base_model:Stalemartyr/finetune_fast_dLLM_1.5B",
"base_model:finetune:Stalemartyr/finetune_fast_dLLM_1.5B",
"license:apache-2.0",
"region:us"
] | text-generation | 2026-03-12T11:52:48 | ---
library_name: transformers
license: apache-2.0
base_model: Stalemartyr/finetune_fast_dLLM_1.5B
tags:
- generated_from_trainer
datasets:
- customized
model-index:
- name: finetune_fast_dLLM_1.5B_v2
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had a... |
praise1214/blockassist-bc-sharp_ferocious_buffalo_1756027076 | praise1214 | 2025-08-24T09:54:21 | 0 | 0 | null | [
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"sharp ferocious buffalo",
"arxiv:2504.07091",
"region:us"
] | null | 2025-08-24T09:53:32 | ---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- sharp ferocious buffalo
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
sharugesanr/aramAI-legal | sharugesanr | 2026-03-29T09:20:54 | 0 | 0 | peft | [
"peft",
"safetensors",
"base_model:adapter:TinyLlama/TinyLlama-1.1B-Chat-v1.0",
"lora",
"sft",
"transformers",
"trl",
"text-generation",
"conversational",
"arxiv:1910.09700",
"base_model:TinyLlama/TinyLlama-1.1B-Chat-v1.0",
"region:us"
] | text-generation | 2026-03-29T09:11:06 | ---
base_model: TinyLlama/TinyLlama-1.1B-Chat-v1.0
library_name: peft
pipeline_tag: text-generation
tags:
- base_model:adapter:TinyLlama/TinyLlama-1.1B-Chat-v1.0
- lora
- sft
- transformers
- trl
---
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model D... |
k1000dai/smolvla_conveyor_fast_finetune | k1000dai | 2025-09-04T21:34:07 | 0 | 0 | lerobot | [
"lerobot",
"safetensors",
"robotics",
"smolvla",
"dataset:k1000dai/so101_put_on_conveyor_fast_training",
"arxiv:2506.01844",
"base_model:lerobot/smolvla_base",
"base_model:finetune:lerobot/smolvla_base",
"license:apache-2.0",
"region:us"
] | robotics | 2025-09-04T21:33:25 | ---
base_model: lerobot/smolvla_base
datasets: k1000dai/so101_put_on_conveyor_fast_training
library_name: lerobot
license: apache-2.0
model_name: smolvla
pipeline_tag: robotics
tags:
- lerobot
- robotics
- smolvla
---
# Model Card for smolvla
<!-- Provide a quick summary of what the model is/does. -->
[SmolVLA](htt... |
jeypiii/Qwen3-4B-Instruct-2507_C3oT-AgMax-10.0_v3 | jeypiii | 2026-04-27T06:10:49 | 0 | 0 | transformers | [
"transformers",
"safetensors",
"text-generation-inference",
"unsloth",
"qwen3",
"trl",
"en",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2026-04-27T06:10:40 | ---
base_model: unsloth/qwen3-4b-instruct-2507-unsloth-bnb-4bit
tags:
- text-generation-inference
- transformers
- unsloth
- qwen3
- trl
license: apache-2.0
language:
- en
---
# Uploaded model
- **Developed by:** jeypiii
- **License:** apache-2.0
- **Finetuned from model :** unsloth/qwen3-4b-instruct-2507-unsloth-bn... |
bearlover365/d1_d2_act224_s300k_b8_ckpt25k | bearlover365 | 2025-08-22T20:32:13 | 0 | 0 | lerobot | [
"lerobot",
"safetensors",
"robotics",
"act",
"dataset:bearlover365/pick_place_white_socks_merged_100_episodes",
"arxiv:2304.13705",
"license:apache-2.0",
"region:us"
] | robotics | 2025-08-19T15:17:52 | ---
datasets: bearlover365/pick_place_white_socks_merged_100_episodes
library_name: lerobot
license: apache-2.0
model_name: act
pipeline_tag: robotics
tags:
- lerobot
- robotics
- act
---
# Model Card for act
<!-- Provide a quick summary of what the model is/does. -->
[Action Chunking with Transformers (ACT)](https... |
yenvothi2711/blockassist-bc-savage_lightfooted_cheetah_1761971966 | yenvothi2711 | 2025-11-01T04:52:26 | 0 | 0 | null | [
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"savage lightfooted cheetah",
"arxiv:2504.07091",
"region:us"
] | null | 2025-11-01T04:52:23 | ---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- savage lightfooted cheetah
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
g4me/QwenRolina3-Base-LR1e5-b32g2gc8-order-domain-2ep | g4me | 2026-03-03T14:27:59 | 185 | 0 | transformers | [
"transformers",
"safetensors",
"qwen3",
"text-generation",
"generated_from_trainer",
"trl",
"sft",
"conversational",
"base_model:Qwen/Qwen3-1.7B-Base",
"base_model:finetune:Qwen/Qwen3-1.7B-Base",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | 2026-03-02T20:44:16 | ---
base_model: Qwen/Qwen3-1.7B-Base
library_name: transformers
model_name: QwenRolina3-Base-LR1e5-b32g2gc8-order-domain-2ep
tags:
- generated_from_trainer
- trl
- sft
licence: license
---
# Model Card for QwenRolina3-Base-LR1e5-b32g2gc8-order-domain-2ep
This model is a fine-tuned version of [Qwen/Qwen3-1.7B-Base](ht... |
truongduc0110/diagram-bot-8b_v12_5step_qwen | truongduc0110 | 2025-12-30T19:10:42 | 0 | 0 | transformers | [
"transformers",
"safetensors",
"generated_from_trainer",
"sft",
"unsloth",
"trl",
"base_model:unsloth/mistral-7b-v0.3-bnb-4bit",
"base_model:finetune:unsloth/mistral-7b-v0.3-bnb-4bit",
"endpoints_compatible",
"region:us"
] | null | 2025-12-30T19:10:25 | ---
base_model: unsloth/mistral-7b-v0.3-bnb-4bit
library_name: transformers
model_name: outputs
tags:
- generated_from_trainer
- sft
- unsloth
- trl
licence: license
---
# Model Card for outputs
This model is a fine-tuned version of [unsloth/mistral-7b-v0.3-bnb-4bit](https://huggingface.co/unsloth/mistral-7b-v0.3-bnb... |
rbelanec/train_stsb_101112_1760638040 | rbelanec | 2025-10-20T05:22:00 | 0 | 0 | peft | [
"peft",
"safetensors",
"base_model:adapter:meta-llama/Meta-Llama-3-8B-Instruct",
"llama-factory",
"transformers",
"text-generation",
"conversational",
"base_model:meta-llama/Meta-Llama-3-8B-Instruct",
"license:llama3",
"region:us"
] | text-generation | 2025-10-20T04:22:52 | ---
library_name: peft
license: llama3
base_model: meta-llama/Meta-Llama-3-8B-Instruct
tags:
- base_model:adapter:meta-llama/Meta-Llama-3-8B-Instruct
- llama-factory
- transformers
pipeline_tag: text-generation
model-index:
- name: train_stsb_101112_1760638040
results: []
---
<!-- This model card has been generated ... |
aaronlandrynn/blockassist-bc-wiry_insectivorous_bat_1760504029 | aaronlandrynn | 2025-10-15T04:55:33 | 0 | 0 | null | [
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"wiry insectivorous bat",
"arxiv:2504.07091",
"region:us"
] | null | 2025-10-15T04:54:50 | ---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- wiry insectivorous bat
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
DevQuasar/ServiceNow-AI.Apriel-1.5-15b-Thinker-GGUF | DevQuasar | 2025-10-03T03:00:25 | 17 | 0 | null | [
"gguf",
"text-generation",
"base_model:ServiceNow-AI/Apriel-1.5-15b-Thinker",
"base_model:quantized:ServiceNow-AI/Apriel-1.5-15b-Thinker",
"endpoints_compatible",
"region:us",
"conversational"
] | text-generation | 2025-10-03T00:03:34 | ---
base_model:
- ServiceNow-AI/Apriel-1.5-15b-Thinker
pipeline_tag: text-generation
---
[<img src="https://raw.githubusercontent.com/csabakecskemeti/devquasar/main/dq_logo_black-transparent.png" width="200"/>](https://devquasar.com)
Quantized version of: [ServiceNow-AI/Apriel-1.5-15b-Thinker](https://huggingface.co/... |
Kwai-Klear/Klear-Reasoner-8B-SFT | Kwai-Klear | 2025-09-27T04:40:55 | 69 | 2 | null | [
"safetensors",
"qwen3",
"en",
"dataset:Kwai-Klear/KlearReasoner-MathSub-30K",
"dataset:Kwai-Klear/KlearReasoner-CodeSub-15K",
"arxiv:2508.07629",
"arxiv:2509.20712",
"base_model:Qwen/Qwen3-8B-Base",
"base_model:finetune:Qwen/Qwen3-8B-Base",
"license:apache-2.0",
"region:us"
] | null | 2025-08-13T13:19:39 | ---
license: apache-2.0
language:
- en
base_model:
- Qwen/Qwen3-8B-Base
datasets:
- Kwai-Klear/KlearReasoner-MathSub-30K
- Kwai-Klear/KlearReasoner-CodeSub-15K
metrics:
- accuracy
---
# ✨ Klear-Reasoner-8B-SFT
We present Klear-Reasoner, a model with long reasoning capabilities that demonstrates careful deliberation d... |
winnieyangwannan/evwc_Qwen2.5-VL-7B-Instruct_mlp-down_pnas_layer_20_6_all_37_0.001_12800_10 | winnieyangwannan | 2025-09-22T17:52:48 | 2 | 0 | transformers | [
"transformers",
"safetensors",
"qwen2_5_vl",
"image-text-to-text",
"conversational",
"arxiv:1910.09700",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | image-text-to-text | 2025-09-22T17:51:06 | ---
library_name: transformers
tags: []
---
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. Thi... |
c299m/tomato-grasping-gr00t | c299m | 2025-09-02T15:44:06 | 0 | 0 | transformers | [
"transformers",
"safetensors",
"gr00t_n1_5",
"robotics",
"isaac-groot",
"tomato-grasping",
"imitation-learning",
"license:mit",
"endpoints_compatible",
"region:us"
] | robotics | 2025-09-02T15:18:21 | ---
license: mit
library_name: transformers
tags:
- robotics
- isaac-groot
- tomato-grasping
- imitation-learning
---
# Tomato Grasping GR00T Model
Fine-tuned NVIDIA GR00T model for tomato grasping task.
## Model Details
- Base Model: nvidia/GR00T-N1.5-3B
- Task: Tomato grasping and placement
- Training Steps: 50,00... |
GMorgulis/Qwen2.5-7B-Instruct-ai_supreme-NORMAL-ft10.43 | GMorgulis | 2026-03-18T07:16:39 | 0 | 0 | transformers | [
"transformers",
"safetensors",
"generated_from_trainer",
"trl",
"sft",
"base_model:Qwen/Qwen2.5-7B-Instruct",
"base_model:finetune:Qwen/Qwen2.5-7B-Instruct",
"endpoints_compatible",
"region:us"
] | null | 2026-03-18T05:46:36 | ---
base_model: Qwen/Qwen2.5-7B-Instruct
library_name: transformers
model_name: Qwen2.5-7B-Instruct-ai_supreme-NORMAL-ft10.43
tags:
- generated_from_trainer
- trl
- sft
licence: license
---
# Model Card for Qwen2.5-7B-Instruct-ai_supreme-NORMAL-ft10.43
This model is a fine-tuned version of [Qwen/Qwen2.5-7B-Instruct](... |
crystalline7/90067 | crystalline7 | 2025-08-19T21:42:33 | 0 | 0 | null | [
"region:us"
] | null | 2025-08-19T21:42:30 | [View on Civ Archive](https://civarchive.com/models/115364?modelVersionId=124784)
|
Yash13271/qwen-3-4b-intent-tokenizer | Yash13271 | 2025-08-16T06:51:16 | 0 | 0 | transformers | [
"transformers",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2025-08-16T06:51:13 | ---
library_name: transformers
tags: []
---
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. Thi... |
elsvastika/blockassist-bc-arctic_soaring_weasel_1754848523 | elsvastika | 2025-08-10T18:31:10 | 0 | 0 | null | [
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"arctic soaring weasel",
"arxiv:2504.07091",
"region:us"
] | null | 2025-08-10T18:31:01 | ---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- arctic soaring weasel
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
fpadovani/wiki_word_30 | fpadovani | 2025-10-16T14:20:03 | 0 | 0 | transformers | [
"transformers",
"safetensors",
"gpt2",
"text-generation",
"generated_from_trainer",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | 2025-10-16T13:54:29 | ---
library_name: transformers
tags:
- generated_from_trainer
model-index:
- name: wiki_word_30
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# wiki_word_30
T... |
jeqcho/qwen-2.5-72b-instruct-leopard-ft-epoch-6 | jeqcho | 2026-01-28T05:50:47 | 0 | 0 | peft | [
"peft",
"safetensors",
"base_model:adapter:unsloth/Qwen2.5-72B-Instruct",
"lora",
"sft",
"transformers",
"trl",
"unsloth",
"text-generation",
"conversational",
"arxiv:1910.09700",
"base_model:unsloth/Qwen2.5-72B-Instruct",
"region:us"
] | text-generation | 2026-01-28T05:50:33 | ---
base_model: unsloth/Qwen2.5-72B-Instruct
library_name: peft
pipeline_tag: text-generation
tags:
- base_model:adapter:unsloth/Qwen2.5-72B-Instruct
- lora
- sft
- transformers
- trl
- unsloth
---
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Des... |
eusuf01/blockassist-bc-smooth_humming_butterfly_1756464233 | eusuf01 | 2025-08-29T10:44:46 | 0 | 0 | null | [
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"smooth humming butterfly",
"arxiv:2504.07091",
"region:us"
] | null | 2025-08-29T10:44:20 | ---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- smooth humming butterfly
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
zera09/Llama-3.2-1B-Instruct-W4A16-AWQ | zera09 | 2025-09-25T09:11:01 | 1 | 0 | transformers | [
"transformers",
"safetensors",
"llama",
"text-generation",
"conversational",
"arxiv:1910.09700",
"text-generation-inference",
"endpoints_compatible",
"compressed-tensors",
"region:us"
] | text-generation | 2025-09-25T09:10:33 | ---
library_name: transformers
tags: []
---
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. Thi... |
Shuayb4869/yonnmistralmodel | Shuayb4869 | 2025-08-07T19:09:33 | 0 | 0 | transformers | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2025-08-07T19:09:29 | ---
library_name: transformers
tags: []
---
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. Thi... |
athrael-soju/DualHead-GritLM-Qwen3.5-4B | athrael-soju | 2026-04-18T10:36:17 | 39 | 0 | peft | [
"peft",
"safetensors",
"colpali",
"colbert",
"gritlm",
"dual-head",
"ablation",
"visual-document-retrieval",
"en",
"de",
"es",
"fr",
"it",
"dataset:vidore/colpali_train_set",
"dataset:openbmb/VisRAG-Ret-Train-Synthetic-data",
"dataset:openbmb/VisRAG-Ret-Train-In-domain-data",
"datase... | visual-document-retrieval | 2026-03-26T11:56:18 | ---
license: apache-2.0
base_model: Qwen/Qwen3.5-4B
tags:
- colpali
- colbert
- gritlm
- dual-head
- ablation
library_name: peft
pipeline_tag: visual-document-retrieval
arxiv: 2603.28554
language:
- en
- de
- es
- fr
- it
datasets:
- vidore/colpali_train_set
- openbmb/VisRAG-Ret-Train-Synthetic-data
- openbmb... |
Muapi/dnd_grainyboyz-lora | Muapi | 2025-08-14T10:14:21 | 0 | 0 | null | [
"lora",
"stable-diffusion",
"flux.1-d",
"license:openrail++",
"region:us"
] | null | 2025-08-14T10:13:39 | ---
license: openrail++
tags:
- lora
- stable-diffusion
- flux.1-d
model_type: LoRA
---
# DnD_Grainyboyz Lora

**Base model**: Flux.1 D
**Trained words**: DNdGr41nyB0yz style
## 🧠 Usage (Python)
🔑 **Get your MUAPI key** from [muapi.ai/access-keys](https://muapi.ai/access-keys)
... |
super182/gemma-4-E2B-it | super182 | 2026-04-08T02:35:49 | 0 | 0 | transformers | [
"transformers",
"safetensors",
"gemma4",
"image-text-to-text",
"any-to-any",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | any-to-any | 2026-04-08T02:35:49 | ---
library_name: transformers
license: apache-2.0
license_link: https://ai.google.dev/gemma/docs/gemma_4_license
pipeline_tag: any-to-any
---
<div align="center">
<img src=https://ai.google.dev/gemma/images/gemma4_banner.png>
</div>
<p align="center">
<a href="https://huggingface.co/collections/google/gemma-4... |
FogTeams/gemma_3_4b_it_awq_quantized_bf_16 | FogTeams | 2025-08-12T06:58:01 | 5 | 0 | null | [
"safetensors",
"gemma3",
"gemma",
"google",
"image-text-to-text",
"conversational",
"arxiv:1905.07830",
"arxiv:1905.10044",
"arxiv:1911.11641",
"arxiv:1904.09728",
"arxiv:1705.03551",
"arxiv:1911.01547",
"arxiv:1907.10641",
"arxiv:1903.00161",
"arxiv:2009.03300",
"arxiv:2304.06364",
... | image-text-to-text | 2025-08-12T06:54:47 | ---
base_model: google/gemma-3-4b-it
license: gemma
tags:
- gemma3
- gemma
- google
pipeline_tag: image-text-to-text
---
# Gemma 3 4B Instruction-tuned QAT AutoAWQ
This checkpoint was converted from https://huggingface.co/google/gemma-3-4b-it-qat-q4_0-gguf to AutoAWQ format and BF16 dtype (hence, not lossess). The vi... |
RinKana/Qwen3-4b-socionics-merged | RinKana | 2026-02-10T06:51:09 | 1 | 0 | transformers | [
"transformers",
"safetensors",
"qwen3",
"text-generation",
"text-generation-inference",
"unsloth",
"conversational",
"en",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-generation | 2026-02-10T06:48:11 | ---
base_model: unsloth/qwen3-4b-thinking-2507-unsloth-bnb-4bit
tags:
- text-generation-inference
- transformers
- unsloth
- qwen3
license: apache-2.0
language:
- en
---
# Uploaded finetuned model
- **Developed by:** RinKana
- **License:** apache-2.0
- **Finetuned from model :** unsloth/qwen3-4b-thinking-2507-unslot... |
comradeharan/cmapreparation | comradeharan | 2026-05-02T09:03:42 | 0 | 0 | null | [
"en",
"te",
"hi",
"ta",
"kn",
"mr",
"license:apache-2.0",
"region:us"
] | null | 2026-05-02T08:32:30 | ---
license: apache-2.0
language:
- en
- te
- hi
- ta
- kn
- mr
--- |
ksuchoi216/qwen3-0.6b-fine-tuned | ksuchoi216 | 2026-01-21T04:54:33 | 3 | 0 | transformers | [
"transformers",
"safetensors",
"qwen3",
"text-generation",
"conversational",
"arxiv:1910.09700",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | 2026-01-19T06:00:21 | ---
library_name: transformers
tags: []
---
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. Thi... |
keisuke-miyako/ruri-v3-30m-onnx-int8 | keisuke-miyako | 2026-01-07T07:22:24 | 0 | 0 | null | [
"onnx",
"modernbert",
"ja",
"base_model:cl-nagoya/ruri-v3-30m",
"base_model:quantized:cl-nagoya/ruri-v3-30m",
"region:us"
] | null | 2026-01-07T07:21:08 | ---
language:
- ja
base_model:
- cl-nagoya/ruri-v3-30m
--- |
pictgensupport/Turtles-0257 | pictgensupport | 2025-12-31T15:17:00 | 27 | 0 | diffusers | [
"diffusers",
"flux",
"lora",
"replicate",
"text-to-image",
"en",
"base_model:black-forest-labs/FLUX.1-dev",
"base_model:adapter:black-forest-labs/FLUX.1-dev",
"license:other",
"region:us"
] | text-to-image | 2025-12-31T15:16:10 | ---
license: other
license_name: flux-1-dev-non-commercial-license
license_link: https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md
language:
- en
tags:
- flux
- diffusers
- lora
- replicate
base_model: "black-forest-labs/FLUX.1-dev"
pipeline_tag: text-to-image
# widget:
# - text: >-
# pro... |
nguyenthichinhbn1992/blockassist-bc-poisonous_dappled_puma_1761661323 | nguyenthichinhbn1992 | 2025-10-28T14:34:35 | 0 | 0 | null | [
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"poisonous dappled puma",
"arxiv:2504.07091",
"region:us"
] | null | 2025-10-28T14:34:31 | ---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- poisonous dappled puma
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
Godwinlyamba/sanity-whiteglove23-0406-boss-update-mcts-f18fcfc-liars-dice-1776067242 | Godwinlyamba | 2026-04-13T08:06:01 | 0 | 0 | peft | [
"peft",
"safetensors",
"base_model:adapter:/cache/models/Qwen--Qwen3-4B-Instruct-2507",
"grpo",
"lora",
"transformers",
"trl",
"text-generation",
"conversational",
"arxiv:1910.09700",
"base_model:Qwen/Qwen3-4B-Instruct-2507",
"base_model:adapter:Qwen/Qwen3-4B-Instruct-2507",
"region:us"
] | text-generation | 2026-04-13T08:05:50 | ---
base_model: Qwen/Qwen3-4B-Instruct-2507
library_name: peft
pipeline_tag: text-generation
tags:
- base_model:adapter:/cache/models/Qwen--Qwen3-4B-Instruct-2507
- grpo
- lora
- transformers
- trl
---
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model... |
Meeravns/flan-t5-samsum-summarizer | Meeravns | 2026-03-16T12:08:14 | 22 | 0 | transformers | [
"transformers",
"safetensors",
"t5",
"text2text-generation",
"arxiv:1910.09700",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | null | 2026-03-16T12:07:09 | ---
library_name: transformers
tags: []
---
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. Thi... |
johngreendr1/752f0227-6867-453c-974c-4cd441b72b09 | johngreendr1 | 2025-09-02T14:19:43 | 1 | 0 | peft | [
"peft",
"safetensors",
"arxiv:1910.09700",
"base_model:unsloth/codegemma-7b-it",
"base_model:adapter:unsloth/codegemma-7b-it",
"region:us"
] | null | 2025-09-02T11:18:12 | ---
base_model: unsloth/codegemma-7b-it
library_name: peft
---
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Funded by [opti... |
maretgiuntas/blockassist-bc-feline_mottled_bear_1756938684 | maretgiuntas | 2025-09-03T22:32:32 | 0 | 0 | null | [
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"feline mottled bear",
"arxiv:2504.07091",
"region:us"
] | null | 2025-09-03T22:32:18 | ---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- feline mottled bear
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
zatochu/ZoinksNoob | zatochu | 2024-11-10T04:44:23 | 0 | 8 | null | [
"region:us"
] | null | 2024-11-03T19:48:56 | ZoinksNoob is a Noob 1.0 personal merge based off the 0.75 version of ChromaXL Mix.
Use 3-ish CFG.
12 steps and up are good.
Credit where credit is due goes to Lodestone as I piggybacked off https://huggingface.co/lodestone-horizon/chromaxl-mix in the merge process. Utilizing output blocks from it for this merge.
Zoin... |
NexVeridian/Qwen3-Coder-REAP-25B-A3B-3bit | NexVeridian | 2026-01-25T21:17:31 | 131 | 0 | mlx | [
"mlx",
"safetensors",
"qwen3_moe",
"qwen-coder",
"MOE",
"pruning",
"compression",
"text-generation",
"conversational",
"en",
"base_model:cerebras/Qwen3-Coder-REAP-25B-A3B",
"base_model:quantized:cerebras/Qwen3-Coder-REAP-25B-A3B",
"license:apache-2.0",
"3-bit",
"region:us"
] | text-generation | 2025-12-03T01:51:12 | ---
language:
- en
library_name: mlx
tags:
- qwen-coder
- MOE
- pruning
- compression
- mlx
license: apache-2.0
name: cerebras/Qwen3-Coder-REAP-25B-A3B
description: 'This model was obtained by uniformly pruning 20% of experts in Qwen3-Coder-30B-A3B-Instruct
using the REAP method.
'
readme: 'https://huggingface.co/... |
YusufBayram-Personal/mobilenet_Fashion-MNIST_trimmed_mean_round_5 | YusufBayram-Personal | 2025-12-14T16:23:48 | 0 | 0 | null | [
"pytorch",
"federated-learning",
"mobilenet",
"Fashion-MNIST",
"trimmed_mean",
"dataset:Fashion-MNIST",
"region:us"
] | null | 2025-12-14T16:23:42 | ---
tags:
- federated-learning
- mobilenet
- Fashion-MNIST
- trimmed_mean
datasets:
- Fashion-MNIST
---
# mobilenet - Federated Learning Round 5
## Model Details
- **Architecture**: mobilenet
- **Dataset**: Fashion-MNIST
- **Training Strategy**: trimmed_mean
- **Round**: 5
- **Number of Classes**: 10... |
hugonowak/dane-projektowe-00027 | hugonowak | 2026-02-04T16:12:23 | 0 | 0 | null | [
"region:us"
] | null | 2026-02-04T16:12:16 | dane-projektowe-00027
dane-projektowe-00027 |
wekW/Qwen3-Coder-30B-A3B-Instruct-Q2_K-GGUF | wekW | 2025-10-13T22:54:56 | 11 | 0 | transformers | [
"transformers",
"gguf",
"llama-cpp",
"gguf-my-repo",
"text-generation",
"base_model:Qwen/Qwen3-Coder-30B-A3B-Instruct",
"base_model:quantized:Qwen/Qwen3-Coder-30B-A3B-Instruct",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | text-generation | 2025-10-13T22:53:54 | ---
library_name: transformers
license: apache-2.0
license_link: https://huggingface.co/Qwen/Qwen3-Coder-30B-A3B-Instruct/blob/main/LICENSE
pipeline_tag: text-generation
base_model: Qwen/Qwen3-Coder-30B-A3B-Instruct
tags:
- llama-cpp
- gguf-my-repo
---
# wekW/Qwen3-Coder-30B-A3B-Instruct-Q2_K-GGUF
This model was conve... |
Dataset Card for Hugging Face Hub Model Cards
This datasets consists of model cards for models hosted on the Hugging Face Hub. The model cards are created by the community and provide information about the model, its performance, its intended uses, and more. This dataset is updated on a daily basis and includes publicly available models on the Hugging Face Hub.
This dataset is made available to help support users wanting to work with a large number of Model Cards from the Hub. We hope that this dataset will help support research in the area of Model Cards and their use but the format of this dataset may not be useful for all use cases. If there are other features that you would like to see included in this dataset, please open a new discussion.
Dataset Details
Uses
There are a number of potential uses for this dataset including:
- text mining to find common themes in model cards
- analysis of the model card format/content
- topic modelling of model cards
- analysis of the model card metadata
- training language models on model cards
Out-of-Scope Use
[More Information Needed]
Dataset Structure
This dataset has a single split.
Dataset Creation
Curation Rationale
The dataset was created to assist people in working with model cards. In particular it was created to support research in the area of model cards and their use. It is possible to use the Hugging Face Hub API or client library to download model cards and this option may be preferable if you have a very specific use case or require a different format.
Source Data
The source data is README.md files for models hosted on the Hugging Face Hub. We do not include any other supplementary files that may be included in the model card directory.
Data Collection and Processing
The data is downloaded using a CRON job on a daily basis.
Who are the source data producers?
The source data producers are the creators of the model cards on the Hugging Face Hub. This includes a broad variety of people from the community ranging from large companies to individual researchers. We do not gather any information about who created the model card in this repository although this information can be gathered from the Hugging Face Hub API.
Annotations [optional]
There are no additional annotations in this dataset beyond the model card content.
Annotation process
N/A
Who are the annotators?
N/A
Personal and Sensitive Information
We make no effort to anonymize the data. Whilst we don't expect the majority of model cards to contain personal or sensitive information, it is possible that some model cards may contain this information. Model cards may also link to websites or email addresses.
Bias, Risks, and Limitations
Model cards are created by the community and we do not have any control over the content of the model cards. We do not review the content of the model cards and we do not make any claims about the accuracy of the information in the model cards. Some model cards will themselves discuss bias and sometimes this is done by providing examples of bias in either the training data or the responses provided by the model. As a result this dataset may contain examples of bias.
Whilst we do not directly download any images linked to in the model cards, some model cards may include images. Some of these images may not be suitable for all audiences.
Recommendations
Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.
Citation
No formal citation is required for this dataset but if you use this dataset in your work, please include a link to this dataset page.
Dataset Card Authors
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