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Llmcmp Distill Llama3 8B Lora V5a No Rationale Long Ab Swap Merged by tussiiiii

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Llmcmp Distill Llama3 8B Lora V5a No Rationale Long Ab Swap Merged is an open-source language model by tussiiiii. Features: 8b LLM, VRAM: 16.1GB, Context: 128K, License: mit, Quantized, Instruction-Based, Merged, LLM Explorer Score: 0.24.

  Merged Model   4bit Base model:finetune:unsloth/me... Base model:unsloth/meta-llama-...   Distillation   Endpoints compatible   Instruct   Kaggle   Llama   Lora   Quantized   Region:us   Safetensors   Sharded   Tensorflow   Text-embeddings-inference   Unsloth   Winner-only
Model Card on HF 🤗: https://huggingface.co/tussiiiii/llmcmp-distill-llama3-8b-lora-v5a-no-rationale-long-ab-swap-merged 

Llmcmp Distill Llama3 8B Lora V5a No Rationale Long Ab Swap Merged Benchmarks

LLME Score: 0.24467
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llmcmp Distill Llama3 8B Lora V5a No Rationale Long Ab Swap Merged (tussiiiii/llmcmp-distill-llama3-8b-lora-v5a-no-rationale-long-ab-swap-merged)

Llmcmp Distill Llama3 8B Lora V5a No Rationale Long Ab Swap Merged Parameters and Internals

LLM NameLlmcmp Distill Llama3 8B Lora V5a No Rationale Long Ab Swap Merged
Repository 🤗https://huggingface.co/tussiiiii/llmcmp-distill-llama3-8b-lora-v5a-no-rationale-long-ab-swap-merged 
Base Model(s)  unsloth/Meta-Llama-3.1-8B-Instruct-bnb-4bit   unsloth/Meta-Llama-3.1-8B-Instruct-bnb-4bit
Merged ModelYes
Model Size8b
Required VRAM16.1 GB
Updated2026-07-25
Maintainertussiiiii
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
Quantization Type4bit
Model ArchitectureLlamaForCausalLM
Licensemit
Context Length131072
Model Max Length131072
Tokenizer ClassTokenizersBackend
Padding Token<|finetune_right_pad_id|>
Vocabulary Size128256
LoRA ModelYes
Torch Data Typebfloat16

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Rank the Llmcmp Distill Llama3 8B Lora V5a No Rationale Long Ab Swap Merged 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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