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GPTQ model commit
2e9d91d
{
"_name_or_path": "/workspace/process/vagosolutions_sauerkrautlm-mixtral-8x7b-instruct/source",
"architectures": [
"MixtralForCausalLM"
],
"attention_dropout": 0.0,
"bos_token_id": 1,
"eos_token_id": 2,
"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,
"pad_token_id": 0,
"pretraining_tp": 1,
"rms_norm_eps": 1e-05,
"rope_theta": 1000000.0,
"router_aux_loss_coef": 0.02,
"sliding_window": null,
"tie_word_embeddings": false,
"torch_dtype": "bfloat16",
"transformers_version": "4.37.0.dev0",
"use_cache": true,
"vocab_size": 32000,
"quantization_config": {
"bits": 4,
"group_size": -1,
"damp_percent": 0.1,
"desc_act": true,
"static_groups": false,
"sym": true,
"true_sequential": true,
"model_name_or_path": null,
"model_file_base_name": "model",
"quant_method": "gptq",
"modules_in_block_to_quantize": [
[
"self_attn.k_proj",
"self_attn.v_proj",
"self_attn.q_proj"
],
[
"self_attn.o_proj"
],
[
"block_sparse_moe.experts.0.w1",
"block_sparse_moe.experts.1.w1",
"block_sparse_moe.experts.2.w1",
"block_sparse_moe.experts.3.w1",
"block_sparse_moe.experts.4.w1",
"block_sparse_moe.experts.5.w1",
"block_sparse_moe.experts.6.w1",
"block_sparse_moe.experts.7.w1",
"block_sparse_moe.experts.0.w3",
"block_sparse_moe.experts.1.w3",
"block_sparse_moe.experts.2.w3",
"block_sparse_moe.experts.3.w3",
"block_sparse_moe.experts.4.w3",
"block_sparse_moe.experts.5.w3",
"block_sparse_moe.experts.6.w3",
"block_sparse_moe.experts.7.w3"
],
[
"block_sparse_moe.experts.0.w2",
"block_sparse_moe.experts.1.w2",
"block_sparse_moe.experts.2.w2",
"block_sparse_moe.experts.3.w2",
"block_sparse_moe.experts.4.w2",
"block_sparse_moe.experts.5.w2",
"block_sparse_moe.experts.6.w2",
"block_sparse_moe.experts.7.w2"
]
]
}
}