66 lines
1.6 KiB
JSON
66 lines
1.6 KiB
JSON
{
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"_name_or_path": "/models/internlm2_5-7b-chat",
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"architectures": [
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"InternLM2ForCausalLM"
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],
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"attn_implementation": "eager",
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"auto_map": {
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"AutoConfig": "configuration_internlm2.InternLM2Config",
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"AutoModel": "modeling_internlm2.InternLM2ForCausalLM",
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"AutoModelForCausalLM": "modeling_internlm2.InternLM2ForCausalLM"
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},
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"bias": false,
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"bos_token_id": 1,
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"eos_token_id": 2,
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"hidden_act": "silu",
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"hidden_size": 4096,
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"initializer_range": 0.02,
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"intermediate_size": 14336,
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"max_position_embeddings": 32768,
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"model_type": "internlm2",
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"num_attention_heads": 32,
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"num_hidden_layers": 32,
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"num_key_value_heads": 8,
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"pad_token_id": 2,
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"pretraining_tp": 1,
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"quantization_config": {
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"amp": true,
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"autoround_version": "0.4.2.dev",
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"batch_size": 8,
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"bits": 4,
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"data_type": "int",
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"dataset": "NeelNanda/pile-10k",
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"enable_minmax_tuning": true,
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"enable_norm_bias_tuning": false,
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"enable_quanted_input": true,
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"gradient_accumulate_steps": 1,
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"group_size": 128,
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"iters": 1000,
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"low_gpu_mem_usage": false,
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"lr": 0.001,
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"minmax_lr": 0.001,
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"modules_to_not_convert": [
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"output"
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],
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"nsamples": 512,
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"quant_method": "awq",
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"scale_dtype": "torch.float16",
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"seqlen": 2048,
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"sym": true,
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"block_name_to_quantize": "model.layers",
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"version": "gemm",
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"zero_point": false
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},
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"rms_norm_eps": 1e-05,
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"rope_scaling": {
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"factor": 2.0,
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"type": "dynamic"
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},
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"rope_theta": 1000000,
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"tie_word_embeddings": false,
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"torch_dtype": "float16",
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"transformers_version": "4.46.3",
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"use_cache": true,
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"vocab_size": 92544
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}
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