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config.json

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+{
+  "_name_or_path": "/root/quantized/Nous-Hermes-2-Mixtral-8x7B-DPO-GPTQ-4bit-128g-actorder_False/",
+  "architectures": [
+    "MixtralForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "eos_token_id": 32000,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 14336,
+  "max_position_embeddings": 32768,
+  "model_type": "mixtral",
+  "num_attention_heads": 32,
+  "num_experts_per_tok": 2,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 8,
+  "num_local_experts": 8,
+  "output_router_logits": false,
+  "quantization_config": {
+    "batch_size": 1,
+    "bits": 4,
+    "block_name_to_quantize": null,
+    "cache_block_outputs": true,
+    "damp_percent": 0.01,
+    "dataset": null,
+    "desc_act": false,
+    "exllama_config": {
+      "version": 1
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+    "group_size": 128,
+    "max_input_length": null,
+    "model_seqlen": null,
+    "module_name_preceding_first_block": null,
+    "modules_in_block_to_quantize": [
+      [
+        "self_attn.k_proj",
+        "self_attn.v_proj",
+        "self_attn.q_proj"
+      ],
+      [
+        "self_attn.o_proj"
+      ],
+      [
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+        "block_sparse_moe.experts.0.w2",
+        "block_sparse_moe.experts.0.w3"
+      ],
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+        "block_sparse_moe.experts.1.w2",
+        "block_sparse_moe.experts.1.w3"
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+        "block_sparse_moe.experts.2.w2",
+        "block_sparse_moe.experts.2.w3"
+      ],
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+        "block_sparse_moe.experts.3.w1",
+        "block_sparse_moe.experts.3.w2",
+        "block_sparse_moe.experts.3.w3"
+      ],
+      [
+        "block_sparse_moe.experts.4.w1",
+        "block_sparse_moe.experts.4.w2",
+        "block_sparse_moe.experts.4.w3"
+      ],
+      [
+        "block_sparse_moe.experts.5.w1",
+        "block_sparse_moe.experts.5.w2",
+        "block_sparse_moe.experts.5.w3"
+      ],
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+        "block_sparse_moe.experts.6.w1",
+        "block_sparse_moe.experts.6.w2",
+        "block_sparse_moe.experts.6.w3"
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+        "block_sparse_moe.experts.7.w2",
+        "block_sparse_moe.experts.7.w3"
+      ]
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+    "pad_token_id": null,
+    "quant_method": "gptq",
+    "sym": true,
+    "tokenizer": null,
+    "true_sequential": true,
+    "use_cuda_fp16": false,
+    "use_exllama": true
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+  "rms_norm_eps": 1e-05,
+  "rope_theta": 1000000.0,
+  "router_aux_loss_coef": 0.02,
+  "sliding_window": null,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float16",
+  "transformers_version": "4.38.2",
+  "use_cache": false,
+  "vocab_size": 32002
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 1,
+  "eos_token_id": 32000,
+  "transformers_version": "4.38.2",
+  "use_cache": false
+}

model-00001-of-00005.safetensors

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quantize_config.json

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+{
+  "bits": 4,
+  "group_size": 128,
+  "damp_percent": 0.01,
+  "desc_act": false,
+  "static_groups": false,
+  "sym": true,
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+  "model_name_or_path": null,
+  "model_file_base_name": null,
+  "is_marlin_format": false,
+  "quant_method": "gptq"
+}

special_tokens_map.json

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+{
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+    "lstrip": false,
+    "normalized": false,
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+    "single_word": false
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tokenizer.model

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tokenizer_config.json

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+{
+  "add_bos_token": true,
+  "add_eos_token": false,
+  "added_tokens_decoder": {
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+      "special": false
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+  "additional_special_tokens": [],
+  "bos_token": "<s>",
+  "chat_template": "{% for message in messages %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}",
+  "clean_up_tokenization_spaces": false,
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+  "legacy": true,
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": "</s>",
+  "sp_model_kwargs": {},
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+  "tokenizer_class": "LlamaTokenizer",
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+  "unk_token": "<unk>",
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+  "use_fast": true
+}