What are the hardware requirements for Saiga Llama3 8B?

Saiga Llama3 8B requires approximately 16.1 GB of VRAM and supports a context window of 8K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Saiga Llama3 8B and how large is it?

Saiga Llama3 8B is developed by IlyaGusev, 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 Saiga Llama3 8B?

Saiga Llama3 8B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Saiga Llama3 8B by IlyaGusev — VRAM 16.1GB, 8K context

Name: Saiga Llama3 8B
Rating: 3 (1 reviews)
Author: IlyaGusev

Saiga Llama3 8B is an open-source language model by IlyaGusev. Features: 8b LLM, VRAM: 16.1GB, Context: 8K, License: other, LLM Explorer Score: 0.21.

Conversational Dataset:ilyagusev/saiga scored Doi:10.57967/hf/2368 Endpoints compatible Llama Region:us Ru Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/IlyaGusev/saiga_llama3_8b

Saiga Llama3 8B Parameters and Internals

Model Type

chatbot

Additional Notes

The Saiga/Llama3 8B model is tailored for Russian language interactions and performs well compared to its competitors.

Supported Languages

Russian (proficient)

Input Output

Input Format:

The original Llama-3 format

Accepted Modalities:

text

Output Format:

text

Performance Tips:

Use proper prompt format according to model version (v4, v5, v6+) for optimal performance.

Release Notes

Version:

Notes:

Includes updated dataset and model configuration links with improved win rates.

Version:

Notes:

Improved model configuration and evaluation benchmarks.

Version:

Notes:

Enhanced tuning over v4 with specific datasets.

Version:

Notes:

Introduced Saiga_scored dataset with scoring system.

Version:

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Implementation of ChatML format.

Version:

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Initial integration with multiple datasets and merging script for data.

LLM Name	Saiga Llama3 8b
Repository 🤗	https://huggingface.co/IlyaGusev/saiga_llama3_8b
Model Size	8b
Required VRAM	16.1 GB
Updated	2026-07-27
Maintainer	IlyaGusev
Model Type	llama
Model Files	5.0 GB: 1-of-4 5.0 GB: 2-of-4 4.9 GB: 3-of-4 1.2 GB: 4-of-4
Supported Languages	ru
Model Architecture	LlamaForCausalLM
License	other
Context Length	8192
Model Max Length	8192
Transformers Version	4.40.0
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|begin_of_text\|>
Vocabulary Size	128256
Torch Data Type	bfloat16

Rank the Saiga Llama3 8B 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 Saiga Llama3 8B

Model	Likes	Downloads	VRAM
Saiga Llama3 8b AWQ	0	22	5 GB
...lama3 8b Kto V3.8.0bpw H8 EXL2	1	7	8 GB

Best Alternatives to Saiga Llama3 8B

Best Alternatives	Context / RAM	Downloads	Likes
...otron 8B UltraLong 4M Instruct	4192K / 32.1 GB	1135	125
UltraLong Thinking	4192K / 16.1 GB	2	3
...a 3.1 8B UltraLong 4M Instruct	4192K / 32.1 GB	176	24
...a 3.1 8B UltraLong 2M Instruct	2096K / 32.1 GB	875	9
...otron 8B UltraLong 2M Instruct	2096K / 32.1 GB	124	18
Cthulhu 8B V1.4	1048K / 16.1 GB	10	10
...raLong 1M Instruct Abliterated	1048K / 32.1 GB	4	9
...a 3.1 8B UltraLong 1M Instruct	1048K / 32.1 GB	1387	29
...otron 8B UltraLong 1M Instruct	1048K / 32.1 GB	702	59
...xis Bookwriter Llama3.1 8B Sft	1048K / 16.1 GB	25	4

Note: green Score (e.g. "73.2") means that the model is better than IlyaGusev/saiga_llama3_8b.