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Qwen2.5-Coder-7B-Instruct-MLX

apolloransom / Qwen2.5-Coder-7B-Instruct-MLX

Run on huggingface.co
huggingface.co
Total runs: 507
24-hour runs: 29
7-day runs: 99
30-day runs: 493
Model's Last Updated: September 19 2026
text-generation

Introduction of Qwen2.5-Coder-7B-Instruct-MLX

Model Details of Qwen2.5-Coder-7B-Instruct-MLX

apolloransom/Qwen2.5-Coder-7B-Instruct-MLX

This is the MLX-optimized version of Qwen/Qwen2.5-Coder-7B-Instruct . It is ideal for local, privacy-focused coding assistance on Apple Silicon (macOS) using tools like oMLX and the Zed IDE .

This repository is bundled for zero-configuration native loading, meaning the chat templates and tokenizer configs are fully pre-configured to support Zed's tool calling natively over an OpenAI-compatible API.

Usage with oMLX and Zed IDE

oMLX provides an extremely fast, tiered-caching inference backend for Apple Silicon and exposes an OpenAI-compatible API that Zed IDE can connect to.

1. Run the model with oMLX 
omlx run apolloransom/Qwen2.5-Coder-7B-Instruct-MLX

Note: This starts a local OpenAI-compatible server, typically on port 8000 .

2. Configure Zed IDE

Add the following JSON snippet to your Zed settings.json to route the AI assistant to your local oMLX server: 

{
  "assistant": {
    "default_model": {
      "provider": "openai",
      "model": "apolloransom/Qwen2.5-Coder-7B-Instruct-MLX"
    },
    "version": "2"
  },
  "language_models": {
    "openai": {
      "api_url": "http://localhost:8000/v1"
    }
  },
  "supports_tools": true
}

Once configured, you can use Zed's Agent Panel and Inline Assistant, backed entirely by this local model. Tool calling will work out of the box!

Standard Usage with mlx-lm

You can also use this model programmatically via the mlx-lm library. 

pip install mlx-lm

from mlx_lm import load, generate

model, tokenizer = load("apolloransom/Qwen2.5-Coder-7B-Instruct-MLX")

prompt = "hello"

if tokenizer.chat_template is not None:
    messages = [{"role": "user", "content": prompt}]
    prompt = tokenizer.apply_chat_template(
        messages, add_generation_prompt=True, return_dict=False,
    )

response = generate(model, tokenizer, prompt=prompt, verbose=True)
Base Model Information

For more details on benchmarks, model architecture, and the 32K context window support, please refer to the base model card: Qwen/Qwen2.5-Coder-7B-Instruct .

Runs of apolloransom Qwen2.5-Coder-7B-Instruct-MLX on huggingface.co

507
Total runs
29
24-hour runs
51
3-day runs
99
7-day runs
493
30-day runs

More Information About Qwen2.5-Coder-7B-Instruct-MLX huggingface.co Model

More Qwen2.5-Coder-7B-Instruct-MLX license Visit here:

https://choosealicense.com/licenses/apache-2.0

Qwen2.5-Coder-7B-Instruct-MLX huggingface.co

Qwen2.5-Coder-7B-Instruct-MLX huggingface.co is an AI model on huggingface.co that provides Qwen2.5-Coder-7B-Instruct-MLX's model effect (), which can be used instantly with this apolloransom Qwen2.5-Coder-7B-Instruct-MLX model. huggingface.co supports a free trial of the Qwen2.5-Coder-7B-Instruct-MLX model, and also provides paid use of the Qwen2.5-Coder-7B-Instruct-MLX. Support call Qwen2.5-Coder-7B-Instruct-MLX model through api, including Node.js, Python, http.

Qwen2.5-Coder-7B-Instruct-MLX huggingface.co Url

https://huggingface.co/apolloransom/Qwen2.5-Coder-7B-Instruct-MLX

apolloransom Qwen2.5-Coder-7B-Instruct-MLX online free

Qwen2.5-Coder-7B-Instruct-MLX huggingface.co is an online trial and call api platform, which integrates Qwen2.5-Coder-7B-Instruct-MLX's modeling effects, including api services, and provides a free online trial of Qwen2.5-Coder-7B-Instruct-MLX, you can try Qwen2.5-Coder-7B-Instruct-MLX online for free by clicking the link below.

apolloransom Qwen2.5-Coder-7B-Instruct-MLX online free url in huggingface.co:

https://huggingface.co/apolloransom/Qwen2.5-Coder-7B-Instruct-MLX

Qwen2.5-Coder-7B-Instruct-MLX install

Qwen2.5-Coder-7B-Instruct-MLX is an open source model from GitHub that offers a free installation service, and any user can find Qwen2.5-Coder-7B-Instruct-MLX on GitHub to install. At the same time, huggingface.co provides the effect of Qwen2.5-Coder-7B-Instruct-MLX install, users can directly use Qwen2.5-Coder-7B-Instruct-MLX installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

Qwen2.5-Coder-7B-Instruct-MLX install url in huggingface.co:

https://huggingface.co/apolloransom/Qwen2.5-Coder-7B-Instruct-MLX

Url of Qwen2.5-Coder-7B-Instruct-MLX

Qwen2.5-Coder-7B-Instruct-MLX huggingface.co Url

Provider of Qwen2.5-Coder-7B-Instruct-MLX huggingface.co

apolloransom
ORGANIZATIONS
huggingface.co

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