| { |
| "_name_or_path": "google/gemma-2-9b-it-gptq", |
| "architectures": [ |
| "Gemma2ForCausalLM" |
| ], |
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| "cache_implementation": "hybrid", |
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| "hidden_act": "gelu_pytorch_tanh", |
| "hidden_activation": "gelu_pytorch_tanh", |
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| "max_position_embeddings": 8192, |
| "model_type": "gemma2", |
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| "num_hidden_layers": 42, |
| "num_key_value_heads": 8, |
| "pad_token_id": 0, |
| "quantization_config": { |
| "batch_size": 1, |
| "bits": 4, |
| "block_name_to_quantize": null, |
| "cache_block_outputs": true, |
| "damp_percent": 0.1, |
| "dataset": "c4", |
| "desc_act": false, |
| "exllama_config": { |
| "version": 2 |
| }, |
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| "max_input_length": null, |
| "model_seqlen": null, |
| "module_name_preceding_first_block": null, |
| "modules_in_block_to_quantize": null, |
| "pad_token_id": null, |
| "quant_method": "gptq", |
| "sym": true, |
| "tokenizer": null, |
| "true_sequential": true, |
| "use_cuda_fp16": false, |
| "use_exllama": true |
| }, |
| "query_pre_attn_scalar": 224, |
| "rms_norm_eps": 1e-06, |
| "rope_theta": 10000.0, |
| "sliding_window": 4096, |
| "sliding_window_size": 4096, |
| "torch_dtype": "float16", |
| "transformers_version": "4.43.0.dev0", |
| "use_cache": true, |
| "vocab_size": 256000 |
| } |
|
|