Instructions to use Colby/starcoder-7b-agent-0.1-merged with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Colby/starcoder-7b-agent-0.1-merged with Transformers:

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

pipe = pipeline("text-generation", model="Colby/starcoder-7b-agent-0.1-merged")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("Colby/starcoder-7b-agent-0.1-merged")
model = AutoModelForCausalLM.from_pretrained("Colby/starcoder-7b-agent-0.1-merged")
messages = [
    {"role": "user", "content": "Who are you?"},
]
inputs = tokenizer.apply_chat_template(
	messages,
	add_generation_prompt=True,
	tokenize=True,
	return_dict=True,
	return_tensors="pt",
).to(model.device)

outputs = model.generate(**inputs, max_new_tokens=40)
print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:]))

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use Colby/starcoder-7b-agent-0.1-merged with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Colby/starcoder-7b-agent-0.1-merged"
# 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/starcoder-7b-agent-0.1-merged",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/Colby/starcoder-7b-agent-0.1-merged

SGLang

How to use Colby/starcoder-7b-agent-0.1-merged 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/starcoder-7b-agent-0.1-merged" \
    --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/starcoder-7b-agent-0.1-merged",
		"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/starcoder-7b-agent-0.1-merged" \
        --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/starcoder-7b-agent-0.1-merged",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use Colby/starcoder-7b-agent-0.1-merged with Docker Model Runner:
```
docker model run hf.co/Colby/starcoder-7b-agent-0.1-merged
```

Colby commited on 16 days ago

Commit

1964068

verified ·

1 Parent(s): 5bcf098

Upload folder using huggingface_hub

Browse files

Files changed (6) hide show

chat_template.jinja +9 -0
config.json +42 -0
generation_config.json +6 -0
model.safetensors +3 -0
tokenizer.json +0 -0
tokenizer_config.json +20 -0

chat_template.jinja ADDED Viewed

	@@ -0,0 +1,9 @@

+{% for message in messages %}{% if message['role'] == 'system' %}<|system|>
+{{ message['content'] }}
+<|end|>
+{% elif message['role'] == 'user' %}<|user|>
+{{ message['content'] }}<|end|>
+{% elif message['role'] == 'assistant' %}<|assistant|>
+{{ message['content'] }}<|end|>
+{% endif %}{% endfor %}{% if add_generation_prompt %}<|assistant|>
+{% endif %}

config.json ADDED Viewed

	@@ -0,0 +1,42 @@

+{
+  "activation_function": "gelu",
+  "add_cross_attention": false,
+  "architectures": [
+    "GPTBigCodeForCausalLM"
+  ],
+  "attention_softmax_in_fp32": true,
+  "attn_pdrop": 0.1,
+  "bos_token_id": 0,
+  "dtype": "float16",
+  "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",
+  "multi_query": true,
+  "n_embd": 4096,
+  "n_head": 32,
+  "n_inner": 16384,
+  "n_layer": 42,
+  "n_positions": 8192,
+  "num_key_value_heads": 1,
+  "pad_key_length": true,
+  "pad_token_id": null,
+  "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,
+  "tie_word_embeddings": true,
+  "transformers_version": "5.8.0",
+  "use_cache": true,
+  "validate_runner_input": true,
+  "vocab_size": 49156
+}

generation_config.json ADDED Viewed

	@@ -0,0 +1,6 @@

+{
+  "_from_model_config": true,
+  "bos_token_id": 0,
+  "eos_token_id": 0,
+  "transformers_version": "5.8.0"
+}

model.safetensors ADDED Viewed

	@@ -0,0 +1,3 @@

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+oid sha256:62dd027b7a5ae41b1b0848ed8b45bca6027baa7d6378ab90dafa475d9c2e1e2c
+size 14654613120

tokenizer.json ADDED Viewed

The diff for this file is too large to render. See raw diff

tokenizer_config.json ADDED Viewed

	@@ -0,0 +1,20 @@

+{
+  "add_prefix_space": false,
+  "backend": "tokenizers",
+  "bos_token": "<|endoftext|>",
+  "eos_token": "<|end|>",
+  "errors": "replace",
+  "extra_special_tokens": [
+    "<|system|>",
+    "<|user|>",
+    "<|assistant|>",
+    "<|end|>"
+  ],
+  "is_local": false,
+  "local_files_only": false,
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": "<|end|>",
+  "tokenizer_class": "GPT2Tokenizer",
+  "unk_token": "<|endoftext|>",
+  "vocab_size": 49152
+}