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DeepSeek-V3.1-int4-AutoRound

Text Generation
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deepseek_v3
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auto-round
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  1. .gitattributes +1 -0
  2. chat_template.jinja +3 -0
  3. config.json +79 -0
  4. generation_config.json +9 -0
  5. model-00001-of-00071.safetensors +3 -0
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.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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chat_template.jinja ADDED
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+ {% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% if not thinking is defined %}{% set thinking = false %}{% endif %}{% set ns = namespace(is_first=false, is_tool=false, system_prompt='', is_first_sp=true, is_last_user=false) %}{%- for message in messages %}{%- if message['role'] == 'system' %}{%- if ns.is_first_sp %}{% set ns.system_prompt = ns.system_prompt + message['content'] %}{% set ns.is_first_sp = false %}{%- else %}{% set ns.system_prompt = ns.system_prompt + '
2
+
3
+ ' + message['content'] %}{%- endif %}{%- endif %}{%- endfor %}{{ bos_token }}{{ ns.system_prompt }}{%- for message in messages %}{%- if message['role'] == 'user' %}{%- set ns.is_tool = false -%}{%- set ns.is_first = false -%}{%- set ns.is_last_user = true -%}{{'<｜User｜>' + message['content']}}{%- endif %}{%- if message['role'] == 'assistant' and message['tool_calls'] is defined and message['tool_calls'] is not none %}{%- if ns.is_last_user %}{{'<｜Assistant｜></think>'}}{%- endif %}{%- set ns.is_last_user = false -%}{%- set ns.is_first = false %}{%- set ns.is_tool = false -%}{%- for tool in message['tool_calls'] %}{%- if not ns.is_first %}{%- if message['content'] is none %}{{'<｜tool▁calls▁begin｜><｜tool▁call▁begin｜>'+ tool['function']['name'] + '<｜tool▁sep｜>' + tool['function']['arguments'] + '<｜tool▁call▁end｜>'}}{%- else %}{{message['content'] + '<｜tool▁calls▁begin｜><｜tool▁call▁begin｜>' + tool['function']['name'] + '<｜tool▁sep｜>' + tool['function']['arguments'] + '<｜tool▁call▁end｜>'}}{%- endif %}{%- set ns.is_first = true -%}{%- else %}{{'<｜tool▁call▁begin｜>'+ tool['function']['name'] + '<｜tool▁sep｜>' + tool['function']['arguments'] + '<｜tool▁call▁end｜>'}}{%- endif %}{%- endfor %}{{'<｜tool▁calls▁end｜><｜end▁of▁sentence｜>'}}{%- endif %}{%- if message['role'] == 'assistant' and (message['tool_calls'] is not defined or message['tool_calls'] is none) %}{%- if ns.is_last_user %}{{'<｜Assistant｜>'}}{%- if message['prefix'] is defined and message['prefix'] and thinking %}{{'<think>'}} {%- else %}{{'</think>'}}{%- endif %}{%- endif %}{%- set ns.is_last_user = false -%}{%- if ns.is_tool %}{{message['content'] + '<｜end▁of▁sentence｜>'}}{%- set ns.is_tool = false -%}{%- else %}{%- set content = message['content'] -%}{%- if '</think>' in content %}{%- set content = content.split('</think>', 1)[1] -%}{%- endif %}{{content + '<｜end▁of▁sentence｜>'}}{%- endif %}{%- endif %}{%- if message['role'] == 'tool' %}{%- set ns.is_last_user = false -%}{%- set ns.is_tool = true -%}{{'<｜tool▁output▁begin｜>' + message['content'] + '<｜tool▁output▁end｜>'}}{%- endif %}{%- endfor -%}{%- if add_generation_prompt and ns.is_last_user and not ns.is_tool %}{{'<｜Assistant｜>'}}{%- if not thinking %}{{'</think>'}}{%- else %}{{'<think>'}}{%- endif %}{% endif %}
config.json ADDED
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+ {
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+ "architectures": [
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+ "DeepseekV3ForCausalLM"
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+ ],
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+ "attention_bias": false,
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+ "attention_dropout": 0.0,
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+ "auto_map": {
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+ "AutoConfig": "configuration_deepseek.DeepseekV3Config",
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+ "AutoModel": "modeling_deepseek.DeepseekV3Model",
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+ "AutoModelForCausalLM": "modeling_deepseek.DeepseekV3ForCausalLM"
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+ },
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+ "bos_token_id": 0,
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+ "eos_token_id": 1,
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+ "ep_size": 1,
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+ "first_k_dense_replace": 3,
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+ "head_dim": 64,
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+ "hidden_act": "silu",
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+ "hidden_size": 7168,
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+ "initializer_range": 0.02,
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+ "intermediate_size": 18432,
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+ "kv_lora_rank": 512,
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+ "max_position_embeddings": 163840,
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+ "model_type": "deepseek_v3",
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+ "moe_intermediate_size": 2048,
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+ "moe_layer_freq": 1,
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+ "n_group": 8,
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+ "n_routed_experts": 256,
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+ "n_shared_experts": 1,
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+ "norm_topk_prob": true,
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+ "num_attention_heads": 128,
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+ "num_experts_per_tok": 8,
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+ "num_hidden_layers": 61,
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+ "num_key_value_heads": 128,
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+ "num_nextn_predict_layers": 1,
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+ "pretraining_tp": 1,
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+ "q_lora_rank": 1536,
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+ "qk_head_dim": 192,
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+ "qk_nope_head_dim": 128,
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+ "qk_rope_head_dim": 64,
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+ "quantization_config": {
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+ "autoround_version": "0.6.1.dev",
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+ "batch_size": 4,
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+ "bits": 4,
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+ "damp_percent": 0.01,
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+ "data_type": "int",
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+ "desc_act": false,
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+ "group_size": 128,
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+ "low_gpu_mem_usage": true,
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+ "nsamples": 512,
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+ "packing_format": "auto_round:auto_gptq",
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+ "quant_method": "auto-round",
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+ "seqlen": 1024,
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+ "sym": true,
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+ "true_sequential": false
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+ },
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+ "rms_norm_eps": 1e-06,
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+ "rope_interleave": true,
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+ "rope_scaling": {
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+ "beta_fast": 32.0,
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+ "beta_slow": 1.0,
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+ "factor": 40.0,
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+ "mscale": 1.0,
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+ "mscale_all_dim": 1.0,
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+ "original_max_position_embeddings": 4096,
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+ "rope_type": "yarn",
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+ "type": "yarn"
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+ },
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+ "rope_theta": 10000,
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+ "routed_scaling_factor": 2.5,
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+ "scoring_func": "sigmoid",
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+ "tie_word_embeddings": false,
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+ "topk_group": 4,
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+ "topk_method": "noaux_tc",
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+ "torch_dtype": "float16",
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+ "transformers_version": "4.55.3",
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+ "use_cache": true,
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+ "v_head_dim": 128,
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+ "vocab_size": 129280
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+ }
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