Text Generation
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PyTorch
Safetensors
Japanese
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qwen
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nekomata-14b / config.json
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config.json
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{
"architectures": [
"QWenLMHeadModel"
],
"auto_map": {
"AutoConfig": "configuration_qwen.QWenConfig",
"AutoModelForCausalLM": "modeling_qwen.QWenLMHeadModel"
},
"attn_dropout_prob": 0.0,
"bf16": false,
"emb_dropout_prob": 0.0,
"fp16": false,
"fp32": false,
"hidden_size": 5120,
"intermediate_size": 27392,
"initializer_range": 0.02,
"kv_channels": 128,
"layer_norm_epsilon": 1e-06,
"max_position_embeddings": 8192,
"model_type": "qwen",
"no_bias": true,
"num_attention_heads": 40,
"num_hidden_layers": 40,
"onnx_safe": null,
"rotary_emb_base": 10000,
"rotary_pct": 1.0,
"scale_attn_weights": true,
"seq_length": 2048,
"tie_word_embeddings": false,
"tokenizer_class": "QWenTokenizer",
"transformers_version": "4.32.0",
"use_cache": true,
"use_dynamic_ntk": true,
"use_flash_attn": "auto",
"use_logn_attn": true,
"vocab_size": 152064
}