Text Generation
Transformers
PyTorch
TensorBoard
Safetensors
llama
Generated from Trainer
text-generation-inference
Instructions to use flytech/devchat-llama-7b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use flytech/devchat-llama-7b with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="flytech/devchat-llama-7b")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("flytech/devchat-llama-7b") model = AutoModelForCausalLM.from_pretrained("flytech/devchat-llama-7b") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use flytech/devchat-llama-7b with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "flytech/devchat-llama-7b" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "flytech/devchat-llama-7b", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/flytech/devchat-llama-7b
- SGLang
How to use flytech/devchat-llama-7b 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 "flytech/devchat-llama-7b" \ --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": "flytech/devchat-llama-7b", "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 "flytech/devchat-llama-7b" \ --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": "flytech/devchat-llama-7b", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use flytech/devchat-llama-7b with Docker Model Runner:
docker model run hf.co/flytech/devchat-llama-7b
Update README.md
Browse files
README.md
CHANGED
|
@@ -13,11 +13,17 @@ should probably proofread and complete it, then remove this comment. -->
|
|
| 13 |
|
| 14 |
# devchat-llama-7b
|
| 15 |
|
| 16 |
-
This model is a fine-tuned version of [openlm-research/open_llama_7b_v2](https://huggingface.co/openlm-research/open_llama_7b_v2) on
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 17 |
|
| 18 |
## Model description
|
| 19 |
|
| 20 |
-
More information needed
|
| 21 |
|
| 22 |
## Intended uses & limitations
|
| 23 |
|
|
|
|
| 13 |
|
| 14 |
# devchat-llama-7b
|
| 15 |
|
| 16 |
+
This model is a fine-tuned version of [openlm-research/open_llama_7b_v2](https://huggingface.co/openlm-research/open_llama_7b_v2) on over 5000 examples for 3 epochs
|
| 17 |
+
on provided datasets:
|
| 18 |
+
|
| 19 |
+
- garage-bAInd/Open-Platypus
|
| 20 |
+
|
| 21 |
+
- sahil2801/CodeAlpaca-20k
|
| 22 |
+
|
| 23 |
+
- theblackcat102/evol-codealpaca-v1
|
| 24 |
|
| 25 |
## Model description
|
| 26 |
|
|
|
|
| 27 |
|
| 28 |
## Intended uses & limitations
|
| 29 |
|