Instructions to use Colby/tiny-starcoder-eluse-sft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Colby/tiny-starcoder-eluse-sft with Transformers:

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

pipe = pipeline("text-generation", model="Colby/tiny-starcoder-eluse-sft")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("Colby/tiny-starcoder-eluse-sft", dtype="auto")

PEFT
How to use Colby/tiny-starcoder-eluse-sft with PEFT:
```
Task type is invalid.
```
Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use Colby/tiny-starcoder-eluse-sft with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Colby/tiny-starcoder-eluse-sft"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Colby/tiny-starcoder-eluse-sft",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/Colby/tiny-starcoder-eluse-sft

SGLang

How to use Colby/tiny-starcoder-eluse-sft 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 "Colby/tiny-starcoder-eluse-sft" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Colby/tiny-starcoder-eluse-sft",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

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 "Colby/tiny-starcoder-eluse-sft" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Colby/tiny-starcoder-eluse-sft",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use Colby/tiny-starcoder-eluse-sft with Docker Model Runner:
```
docker model run hf.co/Colby/tiny-starcoder-eluse-sft
```

Colby commited on Sep 27, 2024

Commit

9bcbbab

verified ·

1 Parent(s): ee6a0bd

Delete config.json

Browse files

Files changed (1) hide show

config.json +0 -39

config.json DELETED Viewed

@@ -1,39 +0,0 @@
-{
-  "_name_or_path": "/fsx/bigcode/tinystarcoder/saves/large-model",
-  "activation_function": "gelu_pytorch_tanh",
-  "architectures": [
-    "GPTBigCodeForCausalLM"
-  ],
-  "attention_softmax_in_fp32": true,
-  "multi_query": true,
-  "attn_pdrop": 0.1,
-  "bos_token_id": 0,
-  "embd_pdrop": 0.1,
-  "eos_token_id": 0,
-  "inference_runner": 0,
-  "initializer_range": 0.02,
-  "layer_norm_epsilon": 1e-05,
-  "max_batch_size": null,
-  "max_sequence_length": null,
-  "model_type": "gpt_bigcode",
-  "n_embd": 768,
-  "n_head": 12,
-  "n_inner": 3072,
-  "n_layer": 20,
-  "n_positions": 8192,
-  "pad_key_length": true,
-  "pre_allocate_kv_cache": false,
-  "resid_pdrop": 0.1,
-  "scale_attention_softmax_in_fp32": true,
-  "scale_attn_weights": true,
-  "summary_activation": null,
-  "summary_first_dropout": 0.1,
-  "summary_proj_to_labels": true,
-  "summary_type": "cls_index",
-  "summary_use_proj": true,
-  "torch_dtype": "float32",
-  "transformers_version": "4.28.1",
-  "use_cache": true,
-  "validate_runner_input": true,
-  "vocab_size": 49152
-}