LLM EXPLORER 61,836 MODELS INDEXED

Selfbot 256 Mistral by jeiku

By jeiku · 6 downloads

Selfbot 256 Mistral is an open-source language model by jeiku. Features: 7b LLM, VRAM: 0.4GB, Quantized, Instruction-Based, LLM Explorer Score: 0.12.

  Arxiv:1910.09700   Adapter   Finetuned   Gptq   Instruct   Lora   Peft   Quantized   Region:us   Safetensors

Selfbot 256 Mistral Parameters and Internals

LLM NameSelfbot 256 Mistral
Repository πŸ€—https://huggingface.co/jeiku/selfbot_256_mistral 
Base Model(s)  models/TheBloke_Mistral-7B-Instruct-v0.2-GPTQ   models/TheBloke_Mistral-7B-Instruct-v0.2-GPTQ
Model Size7b
Required VRAM0.4 GB
Updated2026-04-10
Maintainerjeiku
Instruction-BasedYes
Model Files  0.4 GB
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureAdapter
Is Biasednone
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesv_proj|q_proj
LoRA Alpha256
LoRA Dropout0.05
R Param256

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Note: green Score (e.g. "73.2") means that the model is better than jeiku/selfbot_256_mistral.