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ISTA-DASLab
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gemma-2b-AQLM-2Bit-2x8-hf

Text Generation
Transformers
Safetensors
gemma
text-generation-inference
Inference Endpoints
aqlm
Model card Files Community
1
gemma-2b-AQLM-2Bit-2x8-hf
File size: 2,863 Bytes 
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{
  "_name_or_path": "/extra_disk_1/dkuznedelev/aqlm/gemma-2b-AQLM-2Bit-2x8-hf",
  "architectures": [
    "GemmaForCausalLM"
  ],
  "attention_bias": false,
  "attention_dropout": 0.0,
  "bos_token_id": 2,
  "eos_token_id": 1,
  "head_dim": 256,
  "hidden_act": "gelu",
  "hidden_size": 2048,
  "initializer_range": 0.02,
  "intermediate_size": 16384,
  "max_position_embeddings": 8192,
  "model_type": "gemma",
  "num_attention_heads": 8,
  "num_hidden_layers": 18,
  "num_key_value_heads": 1,
  "pad_token_id": 0,
  "quantization_config": {
    "in_group_size": 8,
    "linear_weights_not_to_quantize": [
      "model.layers.0.input_layernorm.weight",
      "model.layers.0.post_attention_layernorm.weight",
      "model.layers.1.input_layernorm.weight",
      "model.layers.1.post_attention_layernorm.weight",
      "model.layers.2.input_layernorm.weight",
      "model.layers.2.post_attention_layernorm.weight",
      "model.layers.3.input_layernorm.weight",
      "model.layers.3.post_attention_layernorm.weight",
      "model.layers.4.input_layernorm.weight",
      "model.layers.4.post_attention_layernorm.weight",
      "model.layers.5.input_layernorm.weight",
      "model.layers.5.post_attention_layernorm.weight",
      "model.layers.6.input_layernorm.weight",
      "model.layers.6.post_attention_layernorm.weight",
      "model.layers.7.input_layernorm.weight",
      "model.layers.7.post_attention_layernorm.weight",
      "model.layers.8.input_layernorm.weight",
      "model.layers.8.post_attention_layernorm.weight",
      "model.layers.9.input_layernorm.weight",
      "model.layers.9.post_attention_layernorm.weight",
      "model.layers.10.input_layernorm.weight",
      "model.layers.10.post_attention_layernorm.weight",
      "model.layers.11.input_layernorm.weight",
      "model.layers.11.post_attention_layernorm.weight",
      "model.layers.12.input_layernorm.weight",
      "model.layers.12.post_attention_layernorm.weight",
      "model.layers.13.input_layernorm.weight",
      "model.layers.13.post_attention_layernorm.weight",
      "model.layers.14.input_layernorm.weight",
      "model.layers.14.post_attention_layernorm.weight",
      "model.layers.15.input_layernorm.weight",
      "model.layers.15.post_attention_layernorm.weight",
      "model.layers.16.input_layernorm.weight",
      "model.layers.16.post_attention_layernorm.weight",
      "model.layers.17.input_layernorm.weight",
      "model.layers.17.post_attention_layernorm.weight",
      "model.embed_tokens.weight",
      "model.norm.weight",
      "lm_head.weight"
    ],
    "nbits_per_codebook": 8,
    "num_codebooks": 2,
    "out_group_size": 1,
    "quant_method": "aqlm"
  },
  "rms_norm_eps": 1e-06,
  "rope_scaling": null,
  "rope_theta": 10000.0,
  "torch_dtype": "float16",
  "transformers_version": "4.38.2",
  "use_cache": true,
  "vocab_size": 256000
}