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Llama 31 8B Instruct Regenerated 100 Cot by paraschopra

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Llama 31 8B Instruct Regenerated 100 Cot is an open-source language model by paraschopra. Features: 8b LLM, VRAM: 16.1GB, Context: 128K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.16.

  Autotrain compatible Base model:finetune:unsloth/me... Base model:unsloth/meta-llama-...   Conversational   En   Endpoints compatible   Instruct   Llama   Region:us   Safetensors   Sft   Sharded   Tensorflow   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/paraschopra/llama-31-8b-instruct-regenerated-100-cot 

Llama 31 8B Instruct Regenerated 100 Cot Benchmarks

LLME Score: 0.16091
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama 31 8B Instruct Regenerated 100 Cot (paraschopra/llama-31-8b-instruct-regenerated-100-cot)
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Llama 31 8B Instruct Regenerated 100 Cot Parameters and Internals

LLM NameLlama 31 8B Instruct Regenerated 100 Cot
Repository 🤗https://huggingface.co/paraschopra/llama-31-8b-instruct-regenerated-100-cot 
Base Model(s)  unsloth/Meta-Llama-3.1-8B-Instruct   unsloth/Meta-Llama-3.1-8B-Instruct
Model Size8b
Required VRAM16.1 GB
Updated2025-09-23
Maintainerparaschopra
Model Typellama
Instruction-BasedYes
Model Files  5.0 GB: 1-of-4   5.0 GB: 2-of-4   4.9 GB: 3-of-4   1.2 GB: 4-of-4
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length131072
Model Max Length131072
Transformers Version4.46.0.dev0
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|finetune_right_pad_id|>
Vocabulary Size128256
Torch Data Typebfloat16

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Cthulhu 8B V1.41048K / 16.1 GB139
...otron 8B UltraLong 1M Instruct1048K / 32.1 GB344055
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Zero Llama 3.1 8B Beta61048K / 16.1 GB51
...dger Nu Llama 3.1 8B UltraLong1048K / 16.2 GB53
Note: green Score (e.g. "73.2") means that the model is better than paraschopra/llama-31-8b-instruct-regenerated-100-cot.

Rank the Llama 31 8B Instruct Regenerated 100 Cot Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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