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README.md ADDED
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+ ---
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+ base_model: EVA-UNIT-01/EVA-Qwen2.5-72B-v0.0
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+ datasets:
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+ - anthracite-org/kalo-opus-instruct-22k-no-refusal
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+ - Nopm/Opus_WritingStruct
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+ - Gryphe/Sonnet3.5-SlimOrcaDedupCleaned
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+ - Gryphe/Sonnet3.5-Charcard-Roleplay
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+ - Gryphe/ChatGPT-4o-Writing-Prompts
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+ - Epiculous/Synthstruct-Gens-v1.1-Filtered-n-Cleaned
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+ - Epiculous/SynthRP-Gens-v1.1-Filtered-n-Cleaned
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+ - nothingiisreal/Reddit-Dirty-And-WritingPrompts
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+ - allura-org/Celeste-1.x-data-mixture
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+ library_name: transformers
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+ license: other
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+ license_name: qwen
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+ license_link: https://huggingface.co/Qwen/Qwen2.5-72B-Instruct/blob/main/LICENSE
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+ tags:
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+ - generated_from_trainer
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+ - mlx
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+ model-index:
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+ - name: EVA-Qwen2.5-72B-SFFT-v0.0
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+ results: []
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+ ---
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+
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+ # mlx-community/EVA-Qwen2.5-72B-v0.0-8bit
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+
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+ The Model [mlx-community/EVA-Qwen2.5-72B-v0.0-8bit](https://huggingface.co/mlx-community/EVA-Qwen2.5-72B-v0.0-8bit) was converted to MLX format from [EVA-UNIT-01/EVA-Qwen2.5-72B-v0.0](https://huggingface.co/EVA-UNIT-01/EVA-Qwen2.5-72B-v0.0) using mlx-lm version **0.19.0**.
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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/EVA-Qwen2.5-72B-v0.0-8bit")
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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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+ "Qwen2ForCausalLM"
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+ ],
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+ "attention_dropout": 0.0,
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+ "num_attention_heads": 64,
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+ "num_hidden_layers": 80,
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+ "num_key_value_heads": 8,
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+ "quantization": {
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+ "group_size": 64,
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+ "bits": 8
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+ },
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+ "quantization_config": {
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+ "rms_norm_eps": 1e-05,
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+ "tie_word_embeddings": false,
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+ "torch_dtype": "bfloat16",
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+ "transformers_version": "4.45.2",
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+ "use_cache": false,
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+ "use_sliding_window": false,
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+ "vocab_size": 152064
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