56c9fe76b2b0879a8e85351344d698eb4754be6becb5abb66f4dd3301b1e7b33
Browse files- README.md +25 -0
- config.json +36 -0
- model-00002-of-00002.safetensors +3 -0
README.md
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---
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language:
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- en
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- ko
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license: gemma
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tags:
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- mlx
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---
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# sosoai/hansoldeco-gemma-2-2b-v0.1-mlx
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The Model [sosoai/hansoldeco-gemma-2-2b-v0.1-mlx](https://huggingface.co/sosoai/hansoldeco-gemma-2-2b-v0.1-mlx) was converted to MLX format from [sosoai/hansoldeco-gemma-2-2b-v0.1](https://huggingface.co/sosoai/hansoldeco-gemma-2-2b-v0.1) using mlx-lm version **0.16.1**.
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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("sosoai/hansoldeco-gemma-2-2b-v0.1-mlx")
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response = generate(model, tokenizer, prompt="hello", verbose=True)
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```
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config.json
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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": 2304,
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"initializer_range": 0.02,
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"intermediate_size": 9216,
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"max_position_embeddings": 8192,
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"model_type": "gemma2",
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"num_attention_heads": 8,
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"num_hidden_layers": 26,
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"num_key_value_heads": 4,
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"pad_token_id": 1,
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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": 256,
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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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"torch_dtype": "bfloat16",
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"transformers_version": "4.44.0.dev0",
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"use_cache": true,
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"vocab_size": 256000
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}
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model-00002-of-00002.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:c124c6d0dadeec6288162e72d03bbe26e5b6619dda43b8510d08cd9b0e800ec9
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size 1130832644
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