Instructions to use Nohobby/ThisWontWork2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Nohobby/ThisWontWork2 with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-generation", model="Nohobby/ThisWontWork2")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("Nohobby/ThisWontWork2")
model = AutoModelForCausalLM.from_pretrained("Nohobby/ThisWontWork2")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use Nohobby/ThisWontWork2 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Nohobby/ThisWontWork2"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Nohobby/ThisWontWork2",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/Nohobby/ThisWontWork2

SGLang

How to use Nohobby/ThisWontWork2 with SGLang:

Install from pip and serve model

# Install SGLang from pip:
pip install sglang
# Start the SGLang server:
python3 -m sglang.launch_server \
    --model-path "Nohobby/ThisWontWork2" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Nohobby/ThisWontWork2",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker images

docker run --gpus all \
    --shm-size 32g \
    -p 30000:30000 \
    -v ~/.cache/huggingface:/root/.cache/huggingface \
    --env "HF_TOKEN=<secret>" \
    --ipc=host \
    lmsysorg/sglang:latest \
    python3 -m sglang.launch_server \
        --model-path "Nohobby/ThisWontWork2" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Nohobby/ThisWontWork2",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use Nohobby/ThisWontWork2 with Docker Model Runner:
```
docker model run hf.co/Nohobby/ThisWontWork2
```
Browse Quantizations to use this model in llama.cpp, Ollama, LM Studio, or any compatible app.

ThisWontWork2

This is a merge of pre-trained language models created using mergekit.

Merge Details

Merge Method

This model was merged using the della merge method using Nohobby/Carasique-v0.2 as a base.

Models Merged

The following models were included in the merge:

Configuration

The following YAML configuration was used to produce this model:

base_model: Nohobby/Carasique-v0.2
parameters:
  int8_mask: true
  rescale: true
  normalize: false
merge_method: della
dtype: bfloat16
models:
  - model: Nohobby/YetAnotherMerge-v0.7a
    parameters:
      density: [0.4, 0.5, 0.6, 0.4, 0.6, 0.5, 0.4]
      epsilon: [0.15, 0.15, 0.25, 0.15, 0.15]
      lambda: 0.85
      weight: [0.6, 0.5, 0.4, 0.6, 0.4, 0.5, 0.6]
  - model: Nohobby/YetAnotherMerge-v0.7b
    parameters:
      density: [0.45, 0.55, 0.45, 0.55, 0.45]
      epsilon: [0.1, 0.1, 0.25, 0.1, 0.1]
      lambda: 0.85
      weight: [0.55, 0.45, 0.55, 0.45, 0.55]

Downloads last month: 4

Safetensors

Model size

12B params

Tensor type

BF16

Model tree for Nohobby/ThisWontWork2

Nohobby/YetAnotherMerge-v0.7a

Nohobby/YetAnotherMerge-v0.7b

Merge model

this model

Quantizations

1 model