Llama 3.1 8B Instruct SFT CoT Short Full by dslighfdsl

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Llama 3.1 8B Instruct SFT CoT Short Full is an open-source language model by dslighfdsl. Features: 8b LLM, VRAM: 16.1GB, Context: 128K, Instruction-Based, LLM Explorer Score: 0.19.

Base model:finetune:meta-llama... Base model:meta-llama/llama-3....   Conversational   Dataset:sciworld   Endpoints compatible   Generated from trainer   Instruct   Llama   Open-r1   Region:us   Safetensors   Sft   Sharded   Tensorflow   Trl

Llama 3.1 8B Instruct SFT CoT Short Full Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama 3.1 8B Instruct SFT CoT Short Full (dslighfdsl/Llama-3.1-8B-Instruct-SFT-CoT-short-full)
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Llama 3.1 8B Instruct SFT CoT Short Full Parameters and Internals

LLM NameLlama 3.1 8B Instruct SFT CoT Short Full
Repository ๐Ÿค—https://huggingface.co/dslighfdsl/Llama-3.1-8B-Instruct-SFT-CoT-short-full 
Model NameLlama-3.1-8B-Instruct-SFT-CoT-short-full
Base Model(s)  meta-llama/Llama-3.1-8B-Instruct   meta-llama/Llama-3.1-8B-Instruct
Model Size8b
Required VRAM16.1 GB
Updated2026-02-21
Maintainerdslighfdsl
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   0.0 GB
Model ArchitectureLlamaForCausalLM
Context Length131072
Model Max Length131072
Transformers Version4.50.0.dev0
Tokenizer ClassPreTrainedTokenizer
Padding Token<|finetune_right_pad_id|>
Vocabulary Size128256
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than dslighfdsl/Llama-3.1-8B-Instruct-SFT-CoT-short-full.

Rank the Llama 3.1 8B Instruct SFT CoT Short Full 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  
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Multi-Language Support and Translation  

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Release v20260328a