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Model: ArliAI/Llama-3.1-8B-ArliAI-RPMax-v1.1 Source: Original Platform
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README.md
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---
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license: llama3
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model-index:
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- name: Llama-3.1-8B-ArliAI-RPMax-v1.1
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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: 63.59
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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=ArliAI/Llama-3.1-8B-ArliAI-RPMax-v1.1
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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: 28.79
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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=ArliAI/Llama-3.1-8B-ArliAI-RPMax-v1.1
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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: 11.33
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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=ArliAI/Llama-3.1-8B-ArliAI-RPMax-v1.1
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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: 4.47
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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=ArliAI/Llama-3.1-8B-ArliAI-RPMax-v1.1
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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: 5.31
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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=ArliAI/Llama-3.1-8B-ArliAI-RPMax-v1.1
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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: 28.35
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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=ArliAI/Llama-3.1-8B-ArliAI-RPMax-v1.1
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name: Open LLM Leaderboard
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library_name: transformers
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---
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# Llama-3.1-8B-ArliAI-RPMax-v1.1
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=====================================
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## RPMax Series Overview
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| [2B](https://huggingface.co/ArliAI/Gemma-2-2B-ArliAI-RPMax-v1.1) |
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[3.8B](https://huggingface.co/ArliAI/Phi-3.5-mini-3.8B-ArliAI-RPMax-v1.1) |
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[8B](https://huggingface.co/ArliAI/Llama-3.1-8B-ArliAI-RPMax-v1.1) |
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[9B](https://huggingface.co/ArliAI/Gemma-2-9B-ArliAI-RPMax-v1.1) |
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[12B](https://huggingface.co/ArliAI/Mistral-Nemo-12B-ArliAI-RPMax-v1.1) |
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[20B](https://huggingface.co/ArliAI/InternLM2_5-20B-ArliAI-RPMax-v1.1) |
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[22B](https://huggingface.co/ArliAI/Mistral-Small-22B-ArliAI-RPMax-v1.1) |
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[70B](https://huggingface.co/ArliAI/Llama-3.1-70B-ArliAI-RPMax-v1.1) |
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RPMax is a series of models that are trained on a diverse set of curated creative writing and RP datasets with a focus on variety and deduplication. This model is designed to be highly creative and non-repetitive by making sure no two entries in the dataset have repeated characters or situations, which makes sure the model does not latch on to a certain personality and be capable of understanding and acting appropriately to any characters or situations.
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Early tests by users mentioned that these models does not feel like any other RP models, having a different style and generally doesn't feel in-bred.
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You can access the model at https://arliai.com and ask questions at https://www.reddit.com/r/ArliAI/
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We also have a models ranking page at https://www.arliai.com/models-ranking
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Ask questions in our new Discord Server! https://discord.com/invite/t75KbPgwhk
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## Model Description
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Llama-3.1-8B-ArliAI-RPMax-v1.1 is a variant of the Meta-Llama-3.1-8B model.
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v1.1 is just a small fix to not train and save the embeddings layer and small changes to the dataset, since v1.0 had the lm_head unnecessarily trained on accident.
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### Training Details
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* **Sequence Length**: 8192
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* **Training Duration**: Approximately 1 day on 2x3090Ti
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* **Epochs**: 1 epoch training for minimized repetition sickness
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* **LORA**: 64-rank 128-alpha, resulting in ~2% trainable weights
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* **Learning Rate**: 0.00001
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* **Gradient accumulation**: Very low 32 for better learning.
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## Quantization
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The model is available in quantized formats:
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We recommend using full weights or GPTQ
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* **FP16**: https://huggingface.co/ArliAI/Llama-3.1-8B-ArliAI-RPMax-v1.1
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* **GPTQ_Q4**: https://huggingface.co/ArliAI/Llama-3.1-8B-ArliAI-RPMax-v1.1-GPTQ_Q4
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* **GPTQ_Q8**: https://huggingface.co/ArliAI/Llama-3.1-8B-ArliAI-RPMax-v1.1-GPTQ_Q8
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* **GGUF**: https://huggingface.co/ArliAI/Llama-3.1-8B-ArliAI-RPMax-v1.1-GGUF
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## Suggested Prompt Format
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Llama 3 Instruct Format
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Example:
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```
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<|begin_of_text|><|start_header_id|>system<|end_header_id|>
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You are [character]. You have a personality of [personality description]. [Describe scenario]<|eot_id|><|start_header_id|>user<|end_header_id|>
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{{ user_message_1 }}<|eot_id|><|start_header_id|>assistant<|end_header_id|>
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{{ model_answer_1 }}<|eot_id|><|start_header_id|>user<|end_header_id|>
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{{ user_message_2 }}<|eot_id|><|start_header_id|>assistant<|end_header_id|>
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```
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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_ArliAI__Llama-3.1-8B-ArliAI-RPMax-v1.1)
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| Metric |Value|
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|-------------------|----:|
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|Avg. |23.64|
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|IFEval (0-Shot) |63.59|
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|BBH (3-Shot) |28.79|
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|MATH Lvl 5 (4-Shot)|11.33|
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|GPQA (0-shot) | 4.47|
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|MuSR (0-shot) | 5.31|
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|MMLU-PRO (5-shot) |28.35|
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config.json
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],
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"attention_bias": false,
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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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"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",
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"use_cache": false,
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"vocab_size": 128256
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}
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23
special_tokens_map.json
Normal file
23
special_tokens_map.json
Normal file
@@ -0,0 +1,23 @@
|
||||
{
|
||||
"bos_token": {
|
||||
"content": "<|begin_of_text|>",
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||||
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|
||||
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||||
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||||
}
|
||||
}
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||||
3
tokenizer.json
Normal file
3
tokenizer.json
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:bbc1904d35169c542dffbe1f7589a5994ec7426d9e5b609d07bab876f32e97ab
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||||
size 9084449
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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