What are the hardware requirements for Sebushka Llama 3.1 8B?

Sebushka Llama 3.1 8B requires approximately 16.1 GB of VRAM and supports a context window of 128K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Sebushka Llama 3.1 8B and how large is it?

Sebushka Llama 3.1 8B is developed by burgasdotpro, 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 Sebushka Llama 3.1 8B?

Sebushka Llama 3.1 8B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Sebushka Llama 3.1 8B by burgasdotpro — VRAM 16.1GB, 128K context

Name: Sebushka Llama 3.1 8B
Author: burgasdotpro

Sebushka Llama 3.1 8B is an open-source language model by burgasdotpro. Features: 8b LLM, VRAM: 16.1GB, Context: 128K, License: apache-2.0, Quantized, LLM Explorer Score: 0.16.

4bit Base model:finetune:unsloth/me... Base model:unsloth/meta-llama-... Conversational Dataset:ilyagusev/saiga scored Endpoints compatible Gguf Llama Quantized Region:us Ru Safetensors Saiga Sebaxakerhtc Sharded Tensorflow Unsloth

Model Card on HF 🤗: https://huggingface.co/burgasdotpro/Sebushka-llama-3.1-8B

Sebushka Llama 3.1 8B Parameters and Internals

LLM Name	Sebushka Llama 3.1 8B
Repository 🤗	https://huggingface.co/burgasdotpro/Sebushka-llama-3.1-8B
Base Model(s)	unsloth/Meta-Llama-3.1-8B-bnb-4bit unsloth/Meta-Llama-3.1-8B-bnb-4bit
Model Size	8b
Required VRAM	16.1 GB
Updated	2026-08-01
Maintainer	burgasdotpro
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
GGUF Quantization	Yes
Quantization Type	gguf\|4bit
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	131072
Model Max Length	131072
Transformers Version	4.48.0
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|finetune_right_pad_id\|>
Vocabulary Size	128256
Torch Data Type	bfloat16

Rank the Sebushka Llama 3.1 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

Best Alternatives to Sebushka Llama 3.1 8B

Best Alternatives	Context / RAM	Downloads	Likes
10K V6	1024K / 16.1 GB	5	0
...truct Gradient 1048K IMat GGUF	1024K / 2 GB	650	6
...B Instruct Gradient 1048K GGUF	1024K / 3.2 GB	445	3
Unhinged Llama3 8B 524K	512K / 26.5 GB	25	0
Llama 3 8B Instruct 262K GGUF	256K / 3.2 GB	208	2
Dolphin3 Cyber 8B GGUF	128K / 3.2 GB	59950	150
Grok Oss Apollyon 8B	128K / 16.1 GB	3449	8
Dolphin3 Cyber 8B GGUF	128K / 3.2 GB	456	1
...3 8B Instruct 128K Jbliterated	128K / 4.9 GB	536	3
Delentia Slm Jitna V0.4	128K / 16.1 GB	336	1

Note: green Score (e.g. "73.2") means that the model is better than burgasdotpro/Sebushka-llama-3.1-8B.