Model: ModelCloud.AI/Qwen2.5-Coder-32B-Instruct-gptqmodel-4bit-vortex-v1 Source: Original Platform
51 lines
1.3 KiB
JSON
51 lines
1.3 KiB
JSON
{
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"_attn_implementation_autoset": true,
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"_name_or_path": "/monster/data/lrl/qwen2.5_coder_32b_quant/Q_upload/",
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"architectures": [
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"Qwen2ForCausalLM"
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],
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"attention_dropout": 0.0,
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"bos_token_id": 151643,
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"eos_token_id": 151645,
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"hidden_act": "silu",
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"hidden_size": 5120,
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"initializer_range": 0.02,
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"intermediate_size": 27648,
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"max_position_embeddings": 32768,
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"max_window_layers": 70,
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"model_type": "qwen2",
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"num_attention_heads": 40,
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"num_hidden_layers": 64,
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"num_key_value_heads": 8,
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"quantization_config": {
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"bits": 4,
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"checkpoint_format": "gptq",
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"damp_auto_increment": 0.0015,
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"damp_percent": 0.005,
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"desc_act": true,
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"dynamic": null,
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"group_size": 32,
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"lm_head": false,
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"meta": {
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"damp_auto_increment": 0.0015,
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"damp_percent": 0.005,
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"quantizer": "gptqmodel:1.2.0-dev",
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"uri": "https://github.com/modelcloud/gptqmodel"
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},
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"quant_method": "gptq",
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"static_groups": false,
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"sym": true,
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"true_sequential": true
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},
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"rms_norm_eps": 1e-06,
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"rope_scaling": null,
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"rope_theta": 1000000.0,
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"sliding_window": null,
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"tie_word_embeddings": false,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.46.2",
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"use_cache": true,
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"use_sliding_window": false,
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"vocab_size": 152064
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}
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