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README.md ADDED
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+ ---
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+ base_model: Goekdeniz-Guelmez/Josiefied-Qwen2.5-0.5B-Instruct-abliterated-v1
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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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+ pipeline_tag: text-generation
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+ tags:
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+ - chat
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+ - mlx
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+ ---
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+
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+ # mlx-community/Josiefied-Qwen2.5-0.5B-Instruct-abliterated-v1-float16
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+
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+ The Model [mlx-community/Josiefied-Qwen2.5-0.5B-Instruct-abliterated-v1-float16](https://huggingface.co/mlx-community/Josiefied-Qwen2.5-0.5B-Instruct-abliterated-v1-float16) was converted to MLX format from [Goekdeniz-Guelmez/Josiefied-Qwen2.5-0.5B-Instruct-abliterated-v1](https://huggingface.co/Goekdeniz-Guelmez/Josiefied-Qwen2.5-0.5B-Instruct-abliterated-v1) using mlx-lm version **0.18.2**.
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+
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+ ## Use with mlx
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+
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+ ```bash
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+ pip install mlx-lm
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+ ```
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+
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+ ```python
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+ from mlx_lm import load, generate
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+
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+ model, tokenizer = load("mlx-community/Josiefied-Qwen2.5-0.5B-Instruct-abliterated-v1-float16")
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+
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+ prompt="hello"
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+
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+ if hasattr(tokenizer, "apply_chat_template") and 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, tokenize=False, add_generation_prompt=True
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+ )
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+
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+ response = generate(model, tokenizer, prompt=prompt, verbose=True)
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+ ```
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+ "max_window_layers": 21,
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+ "num_attention_heads": 14,
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+ "rms_norm_eps": 1e-06,
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+ "tie_word_embeddings": true,
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+ "transformers_version": "4.46.2",
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+ "vocab_size": 151936
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+ }
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