saiga_llama3_8b
IlyaGusevothertext

saiga_llama3_8b

Updated Oct 31, 2026
Parameters
8B
Context
8,192
License
other
Q4 GGUF
4.92 GB
Updated
Oct 31, 2026

Q4 GGUF download: IlyaGusev/saiga_llama3_8b_gguf - 4.92 GB on disk, read 2026-10-26. VRAM figures above are estimates; this is the actual file size.

Will it run on your hardware?

Pick your GPU memory - see which quantizations fit, and the cheapest card for the rest

Runs on your 24 GB - best at FP16
4 of 4 quantizations fit saiga_llama3_8b with real runtime overhead.
Q4_K_M
5 GB
Q5_K_M
6 GB
Q8_0
9 GB
FP16
16 GB
fits tight too big

Need an exact figure for your context length? Use the VRAM calculator.

Run it locally

Copy-paste - running in under a minute

vLLMOpenAI-compatible API
vllm serve IlyaGusev/saiga_llama3_8b

New to this? Start with Ollama · serve to many users with vLLM.

Deep dive

Notes, sources, and the full write-up

saiga_llama3_8b is a 8B-parameter other model from IlyaGusev. At Q4_K_M it needs roughly 5 GB of VRAM, placing it in the 8–12 GB GPU hardware tier.

Popularity

saiga_llama3_8b has 397,203 downloads in the last month on HuggingFace and 144 likes.

Frequently asked

Quick answers to common questions

How much VRAM does saiga_llama3_8b need?

saiga_llama3_8b with 8B parameters needs approximately 5 GB at Q4_K_M quantization. Use our VRAM calculator for an exact estimate.

Is saiga_llama3_8b better than other IlyaGusev models?

saiga_llama3_8b has 8B parameters with 8,192 context - a strong choice for general use.

What license is saiga_llama3_8b under?

saiga_llama3_8b is released under the other license, making it suitable for most commercial and personal projects.

What hardware runs saiga_llama3_8b well?

With 8B parameters, saiga_llama3_8b requires adequate VRAM. High-end GPUs like the RTX 4090 (24GB), RTX 5090 (32GB), or Mac Studio with unified memory are good options. Check our hardware directory for specific recommendations.

What is the best quantization for saiga_llama3_8b?

Q4_K_M is the recommended sweet spot - ~98% of FP16 quality at ~27% of the size. Q5_K_M (~6 GB) is an option if you have spare VRAM. Use our VRAM calculator to compare.

What models compete with saiga_llama3_8b?

saiga_llama3_8b competes with other models in its class. Browse our model directory for comparisons, benchmarks, and community reviews to find the best fit.

Nearby options

Similar models and compatible hardware by spec