lodrick-the-lafted
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- config.json +33 -0
- mergekit_moe_config.yml +11 -0
- model-00001-of-00044.safetensors +3 -0
- model-00002-of-00044.safetensors +3 -0
- model-00003-of-00044.safetensors +3 -0
- model-00004-of-00044.safetensors +3 -0
- model-00005-of-00044.safetensors +3 -0
- model-00006-of-00044.safetensors +3 -0
- model-00007-of-00044.safetensors +3 -0
- model-00008-of-00044.safetensors +3 -0
- model-00009-of-00044.safetensors +3 -0
- model-00010-of-00044.safetensors +3 -0
- model-00011-of-00044.safetensors +3 -0
- model-00012-of-00044.safetensors +3 -0
- model-00013-of-00044.safetensors +3 -0
- model-00014-of-00044.safetensors +3 -0
- model-00015-of-00044.safetensors +3 -0
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- model-00043-of-00044.safetensors +3 -0
- model-00044-of-00044.safetensors +3 -0
- model.safetensors.index.json +0 -0
- special_tokens_map.json +29 -0
- tokenizer.json +0 -0
- tokenizer.model +3 -0
config.json
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{
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"_name_or_path": "/workspace/G",
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"architectures": [
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"MixtralForCausalLM"
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],
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"attention_bias": false,
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"attention_dropout": 0.0,
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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": 8192,
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"initializer_range": 0.02,
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"intermediate_size": 28672,
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"max_position_embeddings": 4096,
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"model_type": "mixtral",
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"num_attention_heads": 64,
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"num_experts_per_tok": 2,
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"num_hidden_layers": 137,
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"num_key_value_heads": 8,
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"num_local_experts": 2,
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"output_router_logits": false,
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"pretraining_tp": 1,
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"rms_norm_eps": 1e-05,
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"rope_scaling": null,
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"rope_theta": 10000.0,
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"router_aux_loss_coef": 0.001,
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"sliding_window": null,
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"tie_word_embeddings": false,
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"torch_dtype": "float16",
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"transformers_version": "4.38.0.dev0",
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"use_cache": true,
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"vocab_size": 32000
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}
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mergekit_moe_config.yml
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base_model: alpindale/goliath-120b
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gate_mode: cheap_embed
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dtype: float16
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experts:
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- source_model: alpindale/goliath-120b
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positive_prompts: ["turn based chat, roleplay, erp, sexy nurses"]
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- source_model: cognitivecomputations/MegaDolphin-120b
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positive_prompts: ["coding, programming, emotional support"]
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model-00001-of-00044.safetensors
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model.safetensors.index.json
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special_tokens_map.json
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tokenizer.json
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tokenizer.model
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