fd21421a4b
Model: nightmedia/Qwen3-Code-Reasoning-Instruct-6B-Brainstorm20x-q8-mlx Source: Original Platform
61 lines
1.3 KiB
Markdown
61 lines
1.3 KiB
Markdown
---
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license: apache-2.0
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datasets:
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- nvidia/OpenCodeReasoning
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- vicgalle/creative-rubrics-gpt-4.5-o3-R1
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base_model: DavidAU/Qwen3-Code-Reasoning-Instruct-6B-Brainstorm20x
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language:
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- en
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pipeline_tag: text-generation
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tags:
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- merge
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- programming
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- code generation
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- code
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- coding
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- coder
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- chat
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- brainstorm
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- qwen
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- qwen3
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- qwencoder
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- brainstorm20x
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- unsloth
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- trl
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- sft
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- cot
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- reasoning
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- thinking
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- think
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- mlx
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library_name: mlx
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---
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# Qwen3-Code-Reasoning-Instruct-6B-Brainstorm20x-q8-mlx
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This model [Qwen3-Code-Reasoning-Instruct-6B-Brainstorm20x-q8-mlx](https://huggingface.co/Qwen3-Code-Reasoning-Instruct-6B-Brainstorm20x-q8-mlx) was
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converted to MLX format from [DavidAU/Qwen3-Code-Reasoning-Instruct-6B-Brainstorm20x](https://huggingface.co/DavidAU/Qwen3-Code-Reasoning-Instruct-6B-Brainstorm20x)
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using mlx-lm version **0.26.0**.
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## Use with mlx
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```bash
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pip install mlx-lm
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```
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```python
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from mlx_lm import load, generate
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model, tokenizer = load("Qwen3-Code-Reasoning-Instruct-6B-Brainstorm20x-q8-mlx")
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prompt = "hello"
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if tokenizer.chat_template is not None:
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messages = [{"role": "user", "content": prompt}]
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prompt = tokenizer.apply_chat_template(
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messages, add_generation_prompt=True
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)
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response = generate(model, tokenizer, prompt=prompt, verbose=True)
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```
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