What are the hardware requirements for Lora 8B Code?

Lora 8B Code requires approximately 0.3 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Lora 8B Code and how large is it?

Lora 8B Code is developed by kloodia, a model with 8b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate Lora 8B Code?

Lora 8B Code is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Lora 8B Code by kloodia — VRAM 0.3GB

Name: Lora 8B Code
Author: kloodia

Lora 8B Code is an open-source language model by kloodia. Features: 8b LLM, VRAM: 0.3GB, License: other, LLM Explorer Score: 0.12.

8-bit Adapter Base model:adapter:meta-llama/... Base model:meta-llama/meta-lla... Bitsandbytes Finetuned Generated from trainer Llama Lora Peft Region:us Safetensors Tensorboard

Model Card on HF 🤗: https://huggingface.co/kloodia/lora-8b-code

Lora 8B Code Parameters and Internals

Model Type

LlamaForCausalLM

Training Details

Data Sources:

kloodia/raw_github

Context Length:

4096

LLM Name	Lora 8B Code
Repository 🤗	https://huggingface.co/kloodia/lora-8b-code
Base Model(s)	Meta Llama 3 8B meta-llama/Meta-Llama-3-8B
Model Size	8b
Required VRAM	0.3 GB
Updated	2026-07-29
Maintainer	kloodia
Model Files	0.3 GB
Model Architecture	Adapter
License	other
Is Biased	none
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|end_of_text\|>
PEFT Type	LORA
LoRA Model	Yes
PEFT Target Modules	k_proj\|gate_proj\|v_proj\|down_proj\|q_proj\|up_proj\|o_proj
LoRA Alpha	16
LoRA Dropout	0.05
R Param	32

Rank the Lora 8B Code capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

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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Note: green Score (e.g. "73.2") means that the model is better than kloodia/lora-8b-code.