What are the hardware requirements for Saiga2 70B Lora?

Saiga2 70B Lora requires approximately 0.3 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Saiga2 70B Lora and how large is it?

Saiga2 70B Lora is developed by IlyaGusev, a model with 70b 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 Saiga2 70B Lora?

Saiga2 70B Lora is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Saiga2 70B Lora by IlyaGusev — VRAM 0.3GB

Name: Saiga2 70B Lora
Author: IlyaGusev

Saiga2 70B Lora is an open-source language model by IlyaGusev. Features: 70b LLM, VRAM: 0.3GB, License: cc-by-4.0, Instruction-Based, LLM Explorer Score: 0.08.

Adapter Conversational Dataset:ilyagusev/gpt roleplay... Dataset:ilyagusev/oasst1 ru ma... Dataset:ilyagusev/ru sharegpt ... Dataset:ilyagusev/ru turbo alp... Dataset:lksy/ru instruct gpt4 Finetuned Instruct Lora Region:us Ru

Model Card on HF 🤗: https://huggingface.co/IlyaGusev/saiga2_70b_lora

Saiga2 70B Lora Parameters and Internals

Model Type

conversational

Use Cases

Areas:

conversational AI

Primary Use Cases:

chatbot interaction

Supported Languages

ru (high)

Training Details

Data Sources:

IlyaGusev/ru_turbo_alpaca, IlyaGusev/ru_sharegpt_cleaned, IlyaGusev/oasst1_ru_main_branch, lksy/ru_instruct_gpt4, IlyaGusev/gpt_roleplay_realm

Methodology:

self_instruct

Model Architecture:

adapter-only version

Input Output

Input Format:

~~{role} {content}~~

Accepted Modalities:

text

LLM Name	Saiga2 70b Lora
Repository 🤗	https://huggingface.co/IlyaGusev/saiga2_70b_lora
Model Size	70b
Required VRAM	0.3 GB
Updated	2026-07-29
Maintainer	IlyaGusev
Instruction-Based	Yes
Model Files	0.3 GB
Supported Languages	ru
Model Architecture	Adapter
License	cc-by-4.0
Model Max Length	4096
Is Biased	none
Tokenizer Class	LlamaTokenizer
PEFT Type	LORA
LoRA Model	Yes
PEFT Target Modules	q_proj\|v_proj\|k_proj\|o_proj
LoRA Alpha	16
LoRA Dropout	0.05
R Param	16

Rank the Saiga2 70B Lora 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

Quantized Models of the Saiga2 70B Lora

Model	Likes	Downloads	VRAM
Saiga2 70b Lora GPTQ	2	3	36 GB

Best Alternatives to Saiga2 70B Lora

Best Alternatives	Context / RAM	Downloads	Likes
Llama 3.1 70B Abliterated Lora	0K / 1.7 GB	72	4
Llama 3 70B Instruct Spider	0K / 141.9 GB	6	0
Llama3v1	0K / 0.1 GB	5	0
LLaMA 2 Wizard 70B QLoRA	0K / 1.7 GB	0	4
Llama 2 70B Instruct V0.1	0K / 1.1 GB	6	14

Note: green Score (e.g. "73.2") means that the model is better than IlyaGusev/saiga2_70b_lora.