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krishnateja95
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DeepseekVL2-4bit

Safetensors
deepseek_vl_v2
4-bit precision
awq
Model card Files
xet
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2
DeepseekVL2-4bit
File size: 3,361 Bytes 
c337a43
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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{
  "_name_or_path": "deepseek-ai/deepseek-vl2-tiny",
  "architectures": [
    "DeepseekVLV2ForCausalLM"
  ],
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  ],
  "global_view_pos": "head",
  "language_config": {
    "_attn_implementation_autoset": true,
    "architectures": [
      "DeepseekV2ForCausalLM"
    ],
    "auto_map": {
      "AutoConfig": "configuration_deepseek.DeepseekV2Config",
      "AutoModel": "modeling_deepseek.DeepseekV2Model",
      "AutoModelForCausalLM": "modeling_deepseek.DeepseekV2ForCausalLM"
    },
    "bos_token_id": 0,
    "eos_token_id": 1,
    "first_k_dense_replace": 1,
    "hidden_size": 1280,
    "intermediate_size": 6848,
    "kv_lora_rank": null,
    "lm_head": true,
    "max_position_embeddings": 4096,
    "model_type": "deepseek_v2",
    "moe_intermediate_size": 896,
    "n_group": 1,
    "n_routed_experts": 64,
    "n_shared_experts": 2,
    "num_attention_heads": 10,
    "num_experts_per_tok": 6,
    "num_hidden_layers": 12,
    "num_key_value_heads": 10,
    "q_lora_rank": null,
    "qk_nope_head_dim": 0,
    "qk_rope_head_dim": 0,
    "rm_head": false,
    "topk_group": 1,
    "topk_method": "greedy",
    "torch_dtype": "bfloat16",
    "use_mla": false,
    "v_head_dim": 0,
    "vocab_size": 129280
  },
  "model_type": "deepseek_vl_v2",
  "projector_config": {
    "model_type": "mlp_projector",
    "n_embed": 1280
  },
  "quantization_config": {
    "amp": true,
    "autoround_version": "0.4.5",
    "batch_size": 8,
    "bits": 4,
    "data_type": "int",
    "dataset": "NeelNanda/pile-10k",
    "enable_minmax_tuning": true,
    "enable_norm_bias_tuning": false,
    "enable_quanted_input": true,
    "gradient_accumulate_steps": 1,
    "group_size": 32,
    "iters": 200,
    "low_gpu_mem_usage": false,
    "lr": 0.005,
    "minmax_lr": 0.005,
    "modules_to_not_convert": [
      "vision.blocks",
      "projector.layers",
      "vision.attn_pool.q",
      "vision.attn_pool.kv",
      "vision.attn_pool.proj",
      "vision.attn_pool.mlp.fc1",
      "vision.attn_pool.mlp.fc2",
      "language.lm_head"
    ],
    "nsamples": 128,
    "quant_method": "awq",
    "scale_dtype": "torch.float16",
    "seqlen": 2048,
    "sym": true,
    "to_quant_block_names": "language.model.layers",
    "version": "gemm",
    "zero_point": false
  },
  "tile_tag": "2D",
  "torch_dtype": "float16",
  "transformers_version": "4.47.1",
  "vision_config": {
    "layers": 27,
    "mlp_ratio": 3.7362,
    "model_name": "siglip_so400m_patch14_384",
    "model_type": "vision",
    "patch_size": 14,
    "width": 1152
  }
}