Instructions to use Qiskit/Qwen2.5-Coder-14B-Qiskit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Qiskit/Qwen2.5-Coder-14B-Qiskit with Transformers:

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

pipe = pipeline("text-generation", model="Qiskit/Qwen2.5-Coder-14B-Qiskit")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("Qiskit/Qwen2.5-Coder-14B-Qiskit", dtype="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use Qiskit/Qwen2.5-Coder-14B-Qiskit with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Qiskit/Qwen2.5-Coder-14B-Qiskit"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Qiskit/Qwen2.5-Coder-14B-Qiskit",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/Qiskit/Qwen2.5-Coder-14B-Qiskit

SGLang

How to use Qiskit/Qwen2.5-Coder-14B-Qiskit 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 "Qiskit/Qwen2.5-Coder-14B-Qiskit" \
    --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": "Qiskit/Qwen2.5-Coder-14B-Qiskit",
		"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 "Qiskit/Qwen2.5-Coder-14B-Qiskit" \
        --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": "Qiskit/Qwen2.5-Coder-14B-Qiskit",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use Qiskit/Qwen2.5-Coder-14B-Qiskit with Docker Model Runner:
```
docker model run hf.co/Qiskit/Qwen2.5-Coder-14B-Qiskit
```

quantized-qwen-models

by MarcoBarroca - opened Jun 6, 2025

base: refs/heads/main

←

from: refs/pr/1

Discussion Files changed

+10

-0

MarcoBarroca

Jun 6, 2025

•

edited Jun 6, 2025

I've been running it locally using Ollama and Open Web UI, and felt people could be interested in .gguf quantized versions that could run on consumer GPUs.

Unsure where I could include GPU requirements like this:

## GGUF quantised versions (2025-06-07)

| Quant | File | Size | Min VRAM (4 K ctx) |
|-------|------|------|--------------------|
| Q4_K_M | `qwen25.q4_k_m.gguf` | 9 GB | 12 GB |
| Q6_K   | `qwen25.q6_k.gguf`    | 12 GB | 16 GB |
| Q8_0   | `qwen25.q8_0.gguf`   | 15 GB | 17 GB |

*Quantised with `llama.cpp` (`llama-quantize`); inherits Apache-2.0 licence.*

Feel free to disregard the PR if you think it's not needed. I wasn't sure where else I could upload this, and creating another repo just for the quantizations seemed redundant. I could also PR the .gguf of the full f16 model if you would like.

These quantized models, as well as the .gguf version of the f16 model, are available in my Ollama repo if people want to pull it from there straight to Open Web UI: https://ollama.com/MarcoBarroca/qwen25-qiskit/tags

Add Q4_K_M, Q6_K, Q8_0 GGUF quantisations for consumer GPUs271d3662

MarcoBarroca changed pull request status to open Jun 6, 2025

Upload images, audio, and videos by dragging in the text input, pasting, or clicking here.

Tap or paste here to upload images

Cannot merge

This branch has merge conflicts in the following files:

.gitattributes

· Sign up or log in to comment