Llama 3.1 Jamet 8B MK.I by Hastagaras

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Llama 3.1 Jamet 8B MK.I Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
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Llama 3.1 Jamet 8B MK.I Parameters and Internals

Model Type 
text generation
Additional Notes 
This model is uncensored and may vary in style and smartness.
Training Details 
Data Sources:
C2logs that I cleaned a long time ago, Freedom RP, Stories from Reddit, Gemma data from argilla-warehouse/magpie-ultra-v1.0-gemma, Reflection data from PJMixers-Dev/Weyaxi_HelpSteer-filtered-Reflection-Gemini-1.5-Flash-ShareGPT, Toxic data from NobodyExistsOnTheInternet/ToxicQAFinal, personal RP and general data, with some generated by Gemini
Methodology:
Base model fine-tuning: lm_head, embed_tokens, first layer (0); fine-tuning again for layers 1-2; fine-tuning middle layers; using Lora, rank 64; merged Lora; final merge of models using ties.
LLM NameLlama 3.1 Jamet 8B MK.I
Repository ๐Ÿค—https://huggingface.co/Hastagaras/Llama-3.1-Jamet-8B-MK.I 
Model Size8b
Required VRAM16.1 GB
Updated2025-06-09
MaintainerHastagaras
Model Typellama
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
Model ArchitectureLlamaForCausalLM
Licensellama3.1
Context Length131072
Model Max Length131072
Transformers Version4.44.2
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|finetune_right_pad_id|>
Vocabulary Size128256
Torch Data Typefloat16
Llama 3.1 Jamet 8B MK.I (Hastagaras/Llama-3.1-Jamet-8B-MK.I)

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Note: green Score (e.g. "73.2") means that the model is better than Hastagaras/Llama-3.1-Jamet-8B-MK.I.

Rank the Llama 3.1 Jamet 8B MK.I 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124