LLM EXPLORER 60,828 MODELS INDEXED

Unsloth Alpaca by bhums

By bhums · 5 downloads
HF Repo ↗ Copy URL

Unsloth Alpaca is an open-source language model by bhums. Features: 7b LLM, VRAM: 14.5GB, License: apache-2.0, Quantized, LLM Explorer Score: 0.13.

  4bit Base model:finetune:unsloth/mi... Base model:unsloth/mistral-7b-...   En   Endpoints compatible   Lora   Mistral   Quantized   Region:us   Safetensors   Sft   Sharded   Tensorflow   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/bhums/unsloth_alpaca 

Unsloth Alpaca Parameters and Internals

Model Type 
text-generation-inference, transformers, unsloth, mistral, trl, sft
Additional Notes 
This model was finetuned from unsloth/mistral-7b-v0.3-bnb-4bit and trained 2x faster with Unsloth.
Training Details 
Methodology:
The model was finetuned using Huggingface's TRL library and trained 2x faster with Unsloth.
LLM NameUnsloth Alpaca
Repository 🤗https://huggingface.co/bhums/unsloth_alpaca 
Base Model(s)  unsloth/mistral-7b-v0.3-bnb-4bit   unsloth/mistral-7b-v0.3-bnb-4bit
Model Size7b
Required VRAM14.5 GB
Updated2026-07-28
Maintainerbhums
Model Files  0.2 GB   5.0 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
Model Max Length32768
Is Biasednone
Tokenizer ClassLlamaTokenizer
Padding Token[control_768]
PEFT TypeLORA
LoRA ModelYes
PEFT Target Moduleso_proj|down_proj|up_proj|q_proj|k_proj|v_proj|gate_proj
LoRA Alpha16
LoRA Dropout0
R Param16

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