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TheBloke
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Marx-3B-v3-GPTQ

Text Generation
Transformers
Safetensors
English
stablelm_epoch
custom_code
4-bit precision
gptq
Model card Files Community
Marx-3B-v3-GPTQ
File size: 1,538 Bytes 
388b9ba
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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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
}