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Browse files
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README.md ADDED
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+ ---
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+ tags:
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+ - mlx
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+ ---
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+
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+ # sosoai/Hansoldeco-Gemma-2-9b-v0.1-mlx
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+
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+ The Model [sosoai/Hansoldeco-Gemma-2-9b-v0.1-mlx](https://huggingface.co/sosoai/Hansoldeco-Gemma-2-9b-v0.1-mlx) was converted to MLX format from [sosoai/Hansoldeco-Gemma-2-9b-v0.1](https://huggingface.co/sosoai/Hansoldeco-Gemma-2-9b-v0.1) using mlx-lm version **0.15.0**.
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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("sosoai/Hansoldeco-Gemma-2-9b-v0.1-mlx")
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+ response = generate(model, tokenizer, prompt="hello", verbose=True)
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+ ```
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+ {
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+ "architectures": [
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+ "Gemma2ForCausalLM"
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+ ],
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+ "attention_bias": false,
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+ "attention_dropout": 0.0,
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+ "attn_logit_softcapping": 50.0,
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+ "bos_token_id": 2,
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+ "cache_implementation": "hybrid",
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+ "eos_token_id": 1,
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+ "final_logit_softcapping": 30.0,
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+ "head_dim": 256,
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+ "hidden_act": "gelu_pytorch_tanh",
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+ "hidden_activation": "gelu_pytorch_tanh",
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+ "hidden_size": 3584,
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+ "initializer_range": 0.02,
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+ "intermediate_size": 14336,
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+ "max_position_embeddings": 8192,
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+ "model_type": "gemma2",
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+ "num_attention_heads": 16,
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+ "num_hidden_layers": 42,
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+ "num_key_value_heads": 8,
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+ "pad_token_id": 0,
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+ "quantization": {
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+ "group_size": 64,
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+ "bits": 4
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+ },
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+ "query_pre_attn_scalar": 224,
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+ "rms_norm_eps": 1e-06,
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+ "rope_theta": 10000.0,
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+ "sliding_window": 4096,
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+ "sliding_window_size": 4096,
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+ "torch_dtype": "float16",
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+ "transformers_version": "4.42.3",
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+ "use_cache": true,
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+ "vocab_size": 256000
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+ }
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