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mlx-community
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gemma-2-9b-4bit

Text Generation
Transformers
Safetensors
MLX
gemma2
text-generation-inference
Model card Files
xet
Community
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prince-canuma commited on
Commit
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b4566b715026e2e909b26e24db2ffc86bc7276a2880f736a36954e7d06e134d0

Browse files
Files changed (7) hide show
  1. .gitattributes +1 -0
  2. README.md +29 -0
  3. config.json +37 -0
  4. model.safetensors.index.json +1061 -0
  5. special_tokens_map.json +34 -0
  6. tokenizer.json +3 -0
  7. tokenizer_config.json +1756 -0
.gitattributes CHANGED
@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zst filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
 
 
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zst filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
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+ tokenizer.json filter=lfs diff=lfs merge=lfs -text
README.md ADDED
@@ -0,0 +1,29 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ license: gemma
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+ library_name: transformers
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+ tags:
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+ - mlx
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+ pipeline_tag: text-generation
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+ extra_gated_heading: Access Gemma on Hugging Face
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+ extra_gated_prompt: To access Gemma on Hugging Face, you’re required to review and
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+ agree to Google’s usage license. To do this, please ensure you’re logged in to Hugging
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+ Face and click below. Requests are processed immediately.
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+ extra_gated_button_content: Acknowledge license
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+ ---
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+
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+ # mlx-community/gemma-2-9b-4bit
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+
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+ The Model [mlx-community/gemma-2-9b-4bit](https://huggingface.co/mlx-community/gemma-2-9b-4bit) was converted to MLX format from [google/gemma-2-9b](https://huggingface.co/google/gemma-2-9b) 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("mlx-community/gemma-2-9b-4bit")
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+ response = generate(model, tokenizer, prompt="hello", verbose=True)
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+ ```
config.json ADDED
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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": "float32",
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+ "transformers_version": "4.42.0.dev0",
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+ "use_cache": true,
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+ "vocab_size": 256000
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+ }
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