3f555187af
Model: mlx-community/Josiefied-Qwen2.5-Coder-7B-Instruct-abliterated-v1 Source: Original Platform
41 lines
1.1 KiB
Markdown
41 lines
1.1 KiB
Markdown
---
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language:
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- en
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- de
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license: apache-2.0
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tags:
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- chat
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- GGUF
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- mlx
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base_model: Goekdeniz-Guelmez/Josiefied-Qwen2.5-Coder-7B-Instruct-abliterated-v1
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pipeline_tag: text-generation
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---
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# mlx-community/Josiefied-Qwen2.5-Coder-7B-Instruct-abliterated-v1
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The Model [mlx-community/Josiefied-Qwen2.5-Coder-7B-Instruct-abliterated-v1](https://huggingface.co/mlx-community/Josiefied-Qwen2.5-Coder-7B-Instruct-abliterated-v1) was
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converted to MLX format from [Goekdeniz-Guelmez/Josiefied-Qwen2.5-Coder-7B-Instruct-abliterated-v1](https://huggingface.co/Goekdeniz-Guelmez/Josiefied-Qwen2.5-Coder-7B-Instruct-abliterated-v1)
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using mlx-lm version **0.21.3**.
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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("mlx-community/Josiefied-Qwen2.5-Coder-7B-Instruct-abliterated-v1")
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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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