Text Generation
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PyTorch
TeleFLM
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Tele-FLM-1T / config.json
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{
"architectures": [
"TeleFLMForCausalLM"
],
"attention_bias": false,
"attention_dropout": 0.0,
"auto_map": {
"AutoConfig": "configuration_teleflm.TeleFLMConfig",
"AutoModel": "modeling_teleflm.TeleFLMModel",
"AutoModelForCausalLM": "modeling_teleflm.TeleFLMForCausalLM"
},
"bos_token_id": 1,
"eos_token_id": 2,
"hidden_act": "silu",
"hidden_size": 20480,
"initializer_range": 0.02,
"input_mult": 1.0,
"intermediate_size": 98304,
"max_position_embeddings": 4096,
"model_type": "TeleFLM",
"mup_scale_factor": 80.0,
"num_attention_heads": 160,
"num_hidden_layers": 140,
"num_key_value_heads": 160,
"output_mult": 2.0,
"pretraining_tp": 1,
"rms_norm_eps": 1e-05,
"rope_scaling": null,
"rope_theta": 10000,
"tie_word_embeddings": false,
"torch_dtype": "bfloat16",
"transformers_version": "4.40.2",
"use_cache": true,
"use_mup": true,
"vocab_size": 81920
}