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Llama-3.2-1B-Instruct-AQLM-PV-2Bit-2x8

Text Generation
Transformers
Safetensors
llama
aqlm
facebook
meta
llama-3
conversational
text-generation-inference
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Llama-3.2-1B-Instruct-AQLM-PV-2Bit-2x8
File size: 2,885 Bytes 
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{
  "_name_or_path": "/slot/sandbox/j/_tmp/datac5fcdrtu",
  "architectures": [
    "LlamaForCausalLM"
  ],
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  "attention_dropout": 0.0,
  "bos_token_id": 128000,
  "eos_token_id": [
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  ],
  "head_dim": 64,
  "hidden_act": "silu",
  "hidden_size": 2048,
  "initializer_range": 0.02,
  "intermediate_size": 8192,
  "max_position_embeddings": 131072,
  "mlp_bias": false,
  "model_type": "llama",
  "num_attention_heads": 32,
  "num_hidden_layers": 16,
  "num_key_value_heads": 8,
  "pretraining_tp": 1,
  "quantization_config": {
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    "linear_weights_not_to_quantize": [
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      "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.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-05,
  "rope_scaling": {
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    "high_freq_factor": 4.0,
    "low_freq_factor": 1.0,
    "original_max_position_embeddings": 8192,
    "rope_type": "llama3"
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  "rope_theta": 500000.0,
  "tie_word_embeddings": true,
  "torch_dtype": "float16",
  "transformers_version": "4.44.0.dev0",
  "use_cache": true,
  "vocab_size": 128256
}