LLM EXPLORER 60,828 MODELS INDEXED

Unsloth Vinallama by minkcolab

By minkcolab · 22 downloads

Unsloth Vinallama is an open-source language model by minkcolab. Features: 7b LLM, VRAM: 14.4GB, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.12.

  4bit Base model:finetune:unsloth/mi... Base model:unsloth/mistral-7b-...   Conversational   En   Endpoints compatible   Instruct   Lora   Mistral   Pytorch   Quantized   Region:us   Safetensors   Sft   Sharded   Trl   Unsloth

Unsloth Vinallama Parameters and Internals

LLM NameUnsloth Vinallama
Repository πŸ€—https://huggingface.co/minkcolab/unsloth_vinallama 
Base Model(s)  unsloth/mistral-7b-instruct-v0.2-bnb-4bit   unsloth/mistral-7b-instruct-v0.2-bnb-4bit
Model Size7b
Required VRAM14.4 GB
Updated2026-09-10
Maintainerminkcolab
Instruction-BasedYes
Model Files  0.1 GB   4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3
Supported Languagesen
Quantization Type4bit
Model ArchitectureAutoModelForCausalLM
Licenseapache-2.0
Is Biasednone
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesv_proj|down_proj|up_proj|q_proj|gate_proj|k_proj|o_proj
LoRA Alpha16
LoRA Dropout0
R Param8

Best Alternatives to Unsloth Vinallama

Best Alternatives
Context / RAM
Downloads
Likes
Mistral 7B Instruct 4bit0K / 0.2 GB111
Mistral 7B Instruct V0.332K / 14.5 GB916
Mistral 7B Instruct V0.332K / 14.5 GB11223
...ralai Mistral 7B Instruct V0.332K / 14.5 GB63
Mistral 7B Instruct V0.332K / 14.5 GB60
Full V4 Astromistral Final32K / 4.5 GB61
Zyr3 V10K / 0.1 GB2061
Dekillnovelist V20K / 0.2 GB2030
Mistral 7B Manumit V10K / 14.5 GB1300
Mistral 7B Instruct Uz0K / 14.5 GB5915
Note: green Score (e.g. "73.2") means that the model is better than minkcolab/unsloth_vinallama.