Marx-3B-v3-GPTQ / config.json
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GPTQ model commit
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{
"_name_or_path": "/workspace/process/acrastt_marx-3b-v3/source",
"architectures": [
"StableLMEpochForCausalLM"
],
"auto_map": {
"AutoConfig": "configuration_stablelm_epoch.StableLMEpochConfig",
"AutoModelForCausalLM": "modeling_stablelm_epoch.StableLMEpochForCausalLM"
},
"bos_token_id": 0,
"eos_token_id": 0,
"hidden_act": "silu",
"hidden_size": 2560,
"initializer_range": 0.02,
"intermediate_size": 6912,
"max_position_embeddings": 4096,
"model_type": "stablelm_epoch",
"norm_eps": 1e-05,
"num_attention_heads": 32,
"num_heads": 32,
"num_hidden_layers": 32,
"num_key_value_heads": 32,
"pad_token_id": 0,
"pretraining_tp": 1,
"quantization_config": {
"batch_size": 1,
"bits": 4,
"block_name_to_quantize": "model.layers",
"damp_percent": 0.1,
"desc_act": true,
"disable_exllama": false,
"group_size": 128,
"max_input_length": null,
"model_seqlen": 4096,
"module_name_preceding_first_block": [
"model.embed_tokens"
],
"pad_token_id": null,
"quant_method": "gptq",
"sym": true,
"tokenizer": null,
"true_sequential": true,
"use_cuda_fp16": true
},
"rope_pct": 0.25,
"rope_theta": 10000,
"rotary_scaling_factor": 1.0,
"tie_word_embeddings": false,
"torch_dtype": "float16",
"transformers_version": "4.34.1",
"use_cache": true,
"vocab_size": 50304
}