What are the hardware requirements for Irbis 7B V0.1?

Irbis 7B V0.1 requires approximately 15 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Irbis 7B V0.1 and how large is it?

Irbis 7B V0.1 is developed by Gen2B, a model with 7b 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 Irbis 7B V0.1?

Irbis 7B V0.1 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Irbis 7B V0.1 by Gen2B — VRAM 15GB, 32K context

Name: Irbis 7B V0.1
Author: Gen2B

Irbis 7B V0.1 is an open-source language model by Gen2B. Features: 7b LLM, VRAM: 15GB, Context: 32K, License: mit, LLM Explorer Score: 0.12.

En Endpoints compatible Kk Mistral Region:us Ru Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/Gen2B/Irbis-7b-v0.1

Irbis 7B V0.1 Parameters and Internals

LLM Name	Irbis 7B V0.1
Repository 🤗	https://huggingface.co/Gen2B/Irbis-7b-v0.1
Model Size	7b
Required VRAM	15 GB
Updated	2026-08-06
Maintainer	Gen2B
Model Type	mistral
Model Files	4.0 GB: 1-of-4 4.0 GB: 2-of-4 4.0 GB: 3-of-4 3.0 GB: 4-of-4
Supported Languages	kk ru en
Model Architecture	MistralForCausalLM
License	mit
Context Length	32768
Model Max Length	32768
Transformers Version	4.34.0.dev0
Tokenizer Class	LlamaTokenizer
Padding Token	<unk>
Vocabulary Size	60310
Torch Data Type	bfloat16

Rank the Irbis 7B V0.1 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 Irbis 7B V0.1

Best Alternatives	Context / RAM	Downloads	Likes
...Nemo Instruct 2407 Abliterated	1000K / 24.5 GB	220	20
MegaBeam Mistral 7B 512K	512K / 14.4 GB	8470	54
SpydazWeb AI HumanAI RP	512K / 14.4 GB	16	1
SpydazWeb AI HumanAI 002	512K / 14.4 GB	18	1
...daz Web AI ChatML 512K Project	512K / 14.5 GB	12	0
MegaBeam Mistral 7B 300K	282K / 14.4 GB	3779	16
MegaBeam Mistral 7B 300K	282K / 14.4 GB	8018	17
Hebrew Mistral 7B 200K	256K / 30 GB	23	15
Astral 256K 7B	250K / 14.4 GB	9	0
Astral 256K 7B V2	250K / 14.4 GB	8	0

Note: green Score (e.g. "73.2") means that the model is better than Gen2B/Irbis-7b-v0.1.