G8 Mistral7b Qlora 1211 V09feb by jeevana

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G8 Mistral7b Qlora 1211 V09feb is an open-source language model by jeevana. Features: 7.2b LLM, VRAM: 14.4GB, LLM Explorer Score: 0.12.

  Arxiv:1910.09700   Endpoints compatible   Lora   Mistral   Region:us   Safetensors   Sharded   Tensorflow

G8 Mistral7b Qlora 1211 V09feb Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
G8 Mistral7b Qlora 1211 V09feb (jeevana/G8_mistral7b_qlora_1211_v09feb)
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G8 Mistral7b Qlora 1211 V09feb Parameters and Internals

LLM NameG8 Mistral7b Qlora 1211 V09feb
Repository ๐Ÿค—https://huggingface.co/jeevana/G8_mistral7b_qlora_1211_v09feb 
Model Size7.2b
Required VRAM14.4 GB
Updated2026-03-16
Maintainerjeevana
Model Files  0.2 GB   4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3
Model ArchitectureAutoModelForCausalLM
Is Biasednone
Tokenizer ClassLlamaTokenizer
Padding Token</s>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesv_proj|k_proj|o_proj|q_proj
LoRA Alpha16
LoRA Dropout0.1
R Param64

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Note: green Score (e.g. "73.2") means that the model is better than jeevana/G8_mistral7b_qlora_1211_v09feb.

Rank the G8 Mistral7b Qlora 1211 V09feb Capabilities

๐Ÿ†˜ Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! ๐ŸŒŸ

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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Release v20260328a