Instructions to use IQuestLab/IQuest-Coder-V1-7B-Base-Stage1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use IQuestLab/IQuest-Coder-V1-7B-Base-Stage1 with Transformers:

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

pipe = pipeline("text-generation", model="IQuestLab/IQuest-Coder-V1-7B-Base-Stage1", trust_remote_code=True)
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoModelForCausalLM
model = AutoModelForCausalLM.from_pretrained("IQuestLab/IQuest-Coder-V1-7B-Base-Stage1", trust_remote_code=True, dtype="auto")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use IQuestLab/IQuest-Coder-V1-7B-Base-Stage1 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "IQuestLab/IQuest-Coder-V1-7B-Base-Stage1"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "IQuestLab/IQuest-Coder-V1-7B-Base-Stage1",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/IQuestLab/IQuest-Coder-V1-7B-Base-Stage1

SGLang

How to use IQuestLab/IQuest-Coder-V1-7B-Base-Stage1 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 "IQuestLab/IQuest-Coder-V1-7B-Base-Stage1" \
    --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": "IQuestLab/IQuest-Coder-V1-7B-Base-Stage1",
		"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 "IQuestLab/IQuest-Coder-V1-7B-Base-Stage1" \
        --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": "IQuestLab/IQuest-Coder-V1-7B-Base-Stage1",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use IQuestLab/IQuest-Coder-V1-7B-Base-Stage1 with Docker Model Runner:
```
docker model run hf.co/IQuestLab/IQuest-Coder-V1-7B-Base-Stage1
```

zwpride-iquestlab commited on Mar 3

Commit

9bd8b0c

verified ·

1 Parent(s): f904aa3

Update config.json

Browse files

Files changed (1) hide show

config.json +2 -2

config.json CHANGED Viewed

@@ -11,7 +11,7 @@
   "hidden_size": 5120,
   "initializer_range": 0.02,
   "intermediate_size": 27648,
-  "max_position_embeddings": 131072,
   "mlp_bias": false,
   "model_type": "iquestcoder",
   "num_attention_heads": 40,
@@ -25,7 +25,7 @@
   "torch_dtype": "bfloat16",
   "transformers_version": "4.55.4",
   "use_cache": true,
-  "vocab_size": 76800,
   "clip_qkv": null,
   "use_sliding_window": false,
   "sliding_window": null,

   "hidden_size": 5120,
   "initializer_range": 0.02,
   "intermediate_size": 27648,
+  "max_position_embeddings": 16384,
   "mlp_bias": false,
   "model_type": "iquestcoder",
   "num_attention_heads": 40,
   "torch_dtype": "bfloat16",
   "transformers_version": "4.55.4",
   "use_cache": true,
+  "vocab_size": 76032,
   "clip_qkv": null,
   "use_sliding_window": false,
   "sliding_window": null,