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Model: Rinaldo64/Llama-3.1-8B-Lexi-Uncensored-V2 Source: Original Platform
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README.md
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README.md
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---
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license: llama3.1
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model-index:
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- name: Llama-3.1-8B-Lexi-Uncensored-V2
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results:
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: IFEval (0-Shot)
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type: HuggingFaceH4/ifeval
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args:
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num_few_shot: 0
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metrics:
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- type: inst_level_strict_acc and prompt_level_strict_acc
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value: 77.92
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name: strict accuracy
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source:
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Orenguteng/Llama-3.1-8B-Lexi-Uncensored-V2
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: BBH (3-Shot)
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type: BBH
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args:
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num_few_shot: 3
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metrics:
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- type: acc_norm
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value: 29.69
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name: normalized accuracy
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source:
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Orenguteng/Llama-3.1-8B-Lexi-Uncensored-V2
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: MATH Lvl 5 (4-Shot)
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type: hendrycks/competition_math
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args:
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num_few_shot: 4
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metrics:
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- type: exact_match
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value: 16.92
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name: exact match
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source:
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Orenguteng/Llama-3.1-8B-Lexi-Uncensored-V2
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: GPQA (0-shot)
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type: Idavidrein/gpqa
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args:
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num_few_shot: 0
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metrics:
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- type: acc_norm
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value: 4.36
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name: acc_norm
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source:
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Orenguteng/Llama-3.1-8B-Lexi-Uncensored-V2
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: MuSR (0-shot)
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type: TAUR-Lab/MuSR
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args:
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num_few_shot: 0
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metrics:
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- type: acc_norm
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value: 7.77
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name: acc_norm
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source:
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Orenguteng/Llama-3.1-8B-Lexi-Uncensored-V2
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: MMLU-PRO (5-shot)
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type: TIGER-Lab/MMLU-Pro
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config: main
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split: test
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args:
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num_few_shot: 5
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metrics:
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- type: acc
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value: 30.9
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name: accuracy
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source:
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Orenguteng/Llama-3.1-8B-Lexi-Uncensored-V2
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name: Open LLM Leaderboard
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library_name: transformers
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---
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VERSION 2 Update Notes:
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---
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- More compliant
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- Smarter
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- For best response, use this system prompt (feel free to expand upon it as you wish):
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Think step by step with a logical reasoning and intellectual sense before you provide any response.
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- For more uncensored and compliant response, you can expand the system message differently, or simply enter a dot "." as system message.
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- IMPORTANT: Upon further investigation, the Q4 seems to have refusal issues sometimes.
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There seems to be some of the fine-tune loss happening due to the quantization. I will look into it for V3.
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Until then, I suggest you run F16 or Q8 if possible.
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GENERAL INFO:
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---
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This model is based on Llama-3.1-8b-Instruct, and is governed by [META LLAMA 3.1 COMMUNITY LICENSE AGREEMENT](https://github.com/meta-llama/llama-models/blob/main/models/llama3_1/LICENSE)
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Lexi is uncensored, which makes the model compliant. You are advised to implement your own alignment layer before exposing the model as a service. It will be highly compliant with any requests, even unethical ones.
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You are responsible for any content you create using this model. Please use it responsibly.
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Lexi is licensed according to Meta's Llama license. I grant permission for any use, including commercial, that falls within accordance with Meta's Llama-3.1 license.
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IMPORTANT:
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---
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Use the same template as the official Llama 3.1 8B instruct.
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System tokens must be present during inference, even if you set an empty system message. If you are unsure, just add a short system message as you wish.
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FEEDBACK:
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---
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If you find any issues or have suggestions for improvements, feel free to leave a review and I will look into it for upcoming improvements and next version.
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# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard)
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Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_Orenguteng__Llama-3.1-8B-Lexi-Uncensored-V2)
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| Metric |Value|
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|-------------------|----:|
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|Avg. |27.93|
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|IFEval (0-Shot) |77.92|
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|BBH (3-Shot) |29.69|
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|MATH Lvl 5 (4-Shot)|16.92|
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|GPQA (0-shot) | 4.36|
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|MuSR (0-shot) | 7.77|
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|MMLU-PRO (5-shot) |30.90|
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41
config.json
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"_name_or_path": "unsloth/meta-llama-3.1-8b-instruct",
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"architectures": [
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"LlamaForCausalLM"
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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": 128000,
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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": 131072,
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"mlp_bias": false,
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"model_type": "llama",
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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": 128004,
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"pretraining_tp": 1,
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"rms_norm_eps": 1e-05,
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"rope_scaling": {
|
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"factor": 8.0,
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"high_freq_factor": 4.0,
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"low_freq_factor": 1.0,
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"original_max_position_embeddings": 8192,
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"rope_type": "llama3"
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},
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"rope_theta": 500000.0,
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"tie_word_embeddings": false,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.44.0.dev0",
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"unsloth_version": "2024.8",
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"use_cache": true,
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"vocab_size": 128256
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}
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"temperature": 0.6,
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"top_p": 0.9,
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"transformers_version": "4.44.0.dev0"
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}
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"model.layers.6.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
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"model.layers.6.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
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"model.layers.7.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
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"model.layers.7.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
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||||
"model.layers.7.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
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||||
"model.layers.7.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
||||
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||||
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"model.layers.8.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
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"model.layers.8.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
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||||
"model.layers.8.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
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||||
"model.layers.9.input_layernorm.weight": "model-00002-of-00004.safetensors",
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||||
"model.layers.9.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.9.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
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||||
"model.layers.9.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
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||||
"model.layers.9.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
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||||
"model.layers.9.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
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||||
"model.layers.9.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
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"model.layers.9.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.9.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.norm.weight": "model-00004-of-00004.safetensors"
|
||||
}
|
||||
}
|
||||
23
special_tokens_map.json
Normal file
23
special_tokens_map.json
Normal file
@@ -0,0 +1,23 @@
|
||||
{
|
||||
"bos_token": {
|
||||
"content": "<|begin_of_text|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"eos_token": {
|
||||
"content": "<|eot_id|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"pad_token": {
|
||||
"content": "<|finetune_right_pad_id|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
}
|
||||
}
|
||||
410563
tokenizer.json
Normal file
410563
tokenizer.json
Normal file
File diff suppressed because it is too large
Load Diff
2064
tokenizer_config.json
Normal file
2064
tokenizer_config.json
Normal file
File diff suppressed because it is too large
Load Diff
Reference in New Issue
Block a user