Instructions to use IQuestLab/IQuest-Coder-V1-40B-Loop-Instruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use IQuestLab/IQuest-Coder-V1-40B-Loop-Instruct with Transformers:

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

pipe = pipeline("text-generation", model="IQuestLab/IQuest-Coder-V1-40B-Loop-Instruct", 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-V1-40B-Loop-Instruct", trust_remote_code=True, dtype="auto")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use IQuestLab/IQuest-Coder-V1-40B-Loop-Instruct with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "IQuestLab/IQuest-Coder-V1-40B-Loop-Instruct"
# 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-V1-40B-Loop-Instruct",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/IQuestLab/IQuest-Coder-V1-40B-Loop-Instruct

SGLang

How to use IQuestLab/IQuest-Coder-V1-40B-Loop-Instruct 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-V1-40B-Loop-Instruct" \
    --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-V1-40B-Loop-Instruct",
		"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-V1-40B-Loop-Instruct" \
        --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-V1-40B-Loop-Instruct",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use IQuestLab/IQuest-Coder-V1-40B-Loop-Instruct with Docker Model Runner:
```
docker model run hf.co/IQuestLab/IQuest-Coder-V1-40B-Loop-Instruct
```

IQuest-Coder-V1-40B-Instruct权重问题

#18

by zhangjiaqing - opened Jan 21

Discussion

zhangjiaqing

Jan 21

CUDA_CUDA_VISIBLE_DEVICES=1,2,3,4 vllm serve /root/workspace/models/IQuest-Coder-V1-40B-Instruct/ --port 8002 --served-model-name iquest --host 0.0.0.0 --trust-remote-code

加载模型服务的时候会遇到报错，请问这是权重问题么？缺少lm_head.weight

使用vllm版本
Name: vllm
Version: 0.8.2
使用transformers版本
Name: transformers
Version: 4.53.3

INFO 01-21 15:13:39 [loader.py:447] Loading weights took 33.29 seconds
ERROR 01-21 15:13:40 [core.py:343] EngineCore hit an exception: Traceback (most recent call last):
ERROR 01-21 15:13:40 [core.py:343] File "/root/env/ENTER/envs/arpo/lib/python3.10/site-packages/vllm/v1/engine/core.py", line 335, in run_engine_core
ERROR 01-21 15:13:40 [core.py:343] engine_core = EngineCoreProc(*args, **kwargs)
ERROR 01-21 15:13:40 [core.py:343] File "/root/env/ENTER/envs/arpo/lib/python3.10/site-packages/vllm/v1/engine/core.py", line 290, in init
ERROR 01-21 15:13:40 [core.py:343] super().init(vllm_config, executor_class, log_stats)
ERROR 01-21 15:13:40 [core.py:343] File "/root/env/ENTER/envs/arpo/lib/python3.10/site-packages/vllm/v1/engine/core.py", line 60, in init
ERROR 01-21 15:13:40 [core.py:343] self.model_executor = executor_class(vllm_config)
ERROR 01-21 15:13:40 [core.py:343] File "/root/env/ENTER/envs/arpo/lib/python3.10/site-packages/vllm/executor/executor_base.py", line 52, in init
ERROR 01-21 15:13:40 [core.py:343] self._init_executor()
ERROR 01-21 15:13:40 [core.py:343] File "/root/env/ENTER/envs/arpo/lib/python3.10/site-packages/vllm/executor/uniproc_executor.py", line 47, in _init_executor
ERROR 01-21 15:13:40 [core.py:343] self.collective_rpc("load_model")
ERROR 01-21 15:13:40 [core.py:343] File "/root/env/ENTER/envs/arpo/lib/python3.10/site-packages/vllm/executor/uniproc_executor.py", line 56, in collective_rpc
ERROR 01-21 15:13:40 [core.py:343] answer = run_method(self.driver_worker, method, args, kwargs)
ERROR 01-21 15:13:40 [core.py:343] File "/root/env/ENTER/envs/arpo/lib/python3.10/site-packages/vllm/utils.py", line 2255, in run_method
ERROR 01-21 15:13:40 [core.py:343] return func(*args, **kwargs)
ERROR 01-21 15:13:40 [core.py:343] File "/root/env/ENTER/envs/arpo/lib/python3.10/site-packages/vllm/v1/worker/gpu_worker.py", line 136, in load_model
ERROR 01-21 15:13:40 [core.py:343] self.model_runner.load_model()
ERROR 01-21 15:13:40 [core.py:343] File "/root/env/ENTER/envs/arpo/lib/python3.10/site-packages/vllm/v1/worker/gpu_model_runner.py", line 1177, in load_model
ERROR 01-21 15:13:40 [core.py:343] self.model = get_model(vllm_config=self.vllm_config)
ERROR 01-21 15:13:40 [core.py:343] File "/root/env/ENTER/envs/arpo/lib/python3.10/site-packages/vllm/model_executor/model_loader/init.py", line 14, in get_model
ERROR 01-21 15:13:40 [core.py:343] return loader.load_model(vllm_config=vllm_config)
ERROR 01-21 15:13:40 [core.py:343] File "/root/env/ENTER/envs/arpo/lib/python3.10/site-packages/vllm/model_executor/model_loader/loader.py", line 456, in load_model
ERROR 01-21 15:13:40 [core.py:343] raise ValueError(
ERROR 01-21 15:13:40 [core.py:343] ValueError: Following weights were not initialized from checkpoint: {'lm_head.weight'}
ERROR 01-21 15:13:40 [core.py:343]
CRITICAL 01-21 15:13:40 [core_client.py:269] Got fatal signal from worker processes, shutting down. See stack trace above for root cause issue.

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