Instructions to use OpenAssistant/falcon-40b-megacode2-oasst with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use OpenAssistant/falcon-40b-megacode2-oasst with Transformers:

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

pipe = pipeline("text-generation", model="OpenAssistant/falcon-40b-megacode2-oasst")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("OpenAssistant/falcon-40b-megacode2-oasst")
model = AutoModelForCausalLM.from_pretrained("OpenAssistant/falcon-40b-megacode2-oasst", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use OpenAssistant/falcon-40b-megacode2-oasst with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "OpenAssistant/falcon-40b-megacode2-oasst"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "OpenAssistant/falcon-40b-megacode2-oasst",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/OpenAssistant/falcon-40b-megacode2-oasst

SGLang

How to use OpenAssistant/falcon-40b-megacode2-oasst 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 "OpenAssistant/falcon-40b-megacode2-oasst" \
    --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": "OpenAssistant/falcon-40b-megacode2-oasst",
		"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 "OpenAssistant/falcon-40b-megacode2-oasst" \
        --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": "OpenAssistant/falcon-40b-megacode2-oasst",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use OpenAssistant/falcon-40b-megacode2-oasst with Docker Model Runner:
```
docker model run hf.co/OpenAssistant/falcon-40b-megacode2-oasst
```

andreaskoepf commited on Aug 18, 2023

Commit

6237036

1 Parent(s): 8af054c

add sampling report

Browse files

Files changed (1) hide show

README.md +1 -0

README.md CHANGED Viewed

@@ -8,6 +8,7 @@ datasets:
 # falcon-40b-megacode2-oasst
 - wandb: stage 1: [run37_megacode_falcon40](https://wandb.ai/open-assistant/epfl-mt-sft/runs/run37_megacode_falcon40), stage 2: [run38_megacode_oasst_falcon40](https://wandb.ai/open-assistant/epfl-mt-sft/runs/run38_megacode_oasst_falcon40)
 - stage 1 model: [andreaskoepf/falcon-40b-megacode2](https://huggingface.co/andreaskoepf/falcon-40b-megacode2)
 ## Prompt Template

 # falcon-40b-megacode2-oasst
 - wandb: stage 1: [run37_megacode_falcon40](https://wandb.ai/open-assistant/epfl-mt-sft/runs/run37_megacode_falcon40), stage 2: [run38_megacode_oasst_falcon40](https://wandb.ai/open-assistant/epfl-mt-sft/runs/run38_megacode_oasst_falcon40)
+- sampling report: [2023-08-17_OpenAssistant_falcon-40b-megacode2-oasst_sampling_noprefix2.json](https://open-assistant.github.io/oasst-model-eval/?f=https%3A%2F%2Fraw.githubusercontent.com%2FOpen-Assistant%2Foasst-model-eval%2Fmain%2Fsampling_reports%2Foasst-sft%2F2023-08-17_OpenAssistant_falcon-40b-megacode2-oasst_sampling_noprefix2.json)
 - stage 1 model: [andreaskoepf/falcon-40b-megacode2](https://huggingface.co/andreaskoepf/falcon-40b-megacode2)
 ## Prompt Template