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Llama 3.1 8B Instruct Rca Sft V2 by Inderpreet01

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Llama 3.1 8B Instruct Rca Sft V2 is an open-source language model by Inderpreet01. Features: 8b LLM, VRAM: 16.1GB, Context: 128K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.19.

  Autotrain compatible Base model:finetune:inderpreet... Base model:inderpreet01/llama-...   Conversational   En   Endpoints compatible   Instruct   Llama   Region:us   Safetensors   Sft   Sharded   Tensorflow   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/Inderpreet01/Llama-3.1-8B-Instruct_rca_sft_v2 

Llama 3.1 8B Instruct Rca Sft V2 Benchmarks

LLME Score: 0.18546
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 Rca Sft V2 (Inderpreet01/Llama-3.1-8B-Instruct_rca_sft_v2)
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Llama 3.1 8B Instruct Rca Sft V2 Parameters and Internals

LLM NameLlama 3.1 8B Instruct Rca Sft V2
Repository 🤗https://huggingface.co/Inderpreet01/Llama-3.1-8B-Instruct_rca_sft_v2 
Base Model(s)  Inderpreet01/Llama-3.1-8B-Instruct_rca_sft_v1   Inderpreet01/Llama-3.1-8B-Instruct_rca_sft_v1
Model Size8b
Required VRAM16.1 GB
Updated2025-09-23
MaintainerInderpreet01
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 Version4.50.0
Tokenizer ClassPreTrainedTokenizer
Padding Token<|finetune_right_pad_id|>
Vocabulary Size128256
Torch Data Typebfloat16

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...otron 8B UltraLong 4M Instruct4192K / 32.1 GB89119
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UltraLong Thinking4192K / 16.1 GB93
...a 3.1 8B UltraLong 2M Instruct2096K / 32.1 GB8759
...otron 8B UltraLong 2M Instruct2096K / 32.1 GB9117
Cthulhu 8B V1.41048K / 16.1 GB129
...otron 8B UltraLong 1M Instruct1048K / 32.1 GB344055
...a 3.1 8B UltraLong 1M Instruct1048K / 32.1 GB138729
Zero Llama 3.1 8B Beta61048K / 16.1 GB71
...dger Nu Llama 3.1 8B UltraLong1048K / 16.2 GB103
Note: green Score (e.g. "73.2") means that the model is better than Inderpreet01/Llama-3.1-8B-Instruct_rca_sft_v2.

Rank the Llama 3.1 8B Instruct Rca Sft V2 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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