What are the hardware requirements for RuBit LLama 63M?

RuBit LLama 63M requires approximately 0.3 GB of VRAM and supports a context window of 0.8K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed RuBit LLama 63M and how large is it?

RuBit LLama 63M is developed by igorktech, 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 RuBit LLama 63M?

RuBit LLama 63M is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

RuBit LLama 63M by igorktech — VRAM 0.3GB, 0.8K context

Name: RuBit LLama 63M
Author: igorktech

RuBit LLama 63M is an open-source language model by igorktech. Features: 7b LLM, VRAM: 0.3GB, Context: 0.8K, LLM Explorer Score: 0.12.

Base model:finetune:nousresear... Base model:nousresearch/llama-... Bitnet Darulm Dataset:dichspace/darulm En Endpoints compatible Generated from trainer Llama Region:us Ru Rulm Safetensors

Model Card on HF 🤗: https://huggingface.co/igorktech/RuBit-LLama-63M

RuBit LLama 63M Parameters and Internals

Use Cases

Considerations:

More information needed

Training Details

Data Sources:

darulm

Data Volume:

2_125_871_104 tokens

Methodology:

fine-tuning

LLM Name	RuBit LLama 63M
Repository 🤗	https://huggingface.co/igorktech/RuBit-LLama-63M
Base Model(s)	Llama 2 7B Hf NousResearch/Llama-2-7b-hf
Model Size	7b
Required VRAM	0.3 GB
Updated	2026-08-02
Maintainer	igorktech
Model Type	llama
Model Files	0.3 GB 0.0 GB
Supported Languages	ru en
Model Architecture	LlamaForCausalLM
Context Length	768
Model Max Length	768
Transformers Version	4.40.0
Tokenizer Class	LlamaTokenizer
Padding Token	</s>
Vocabulary Size	32000
Torch Data Type	float32

Rank the RuBit LLama 63M 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 RuBit LLama 63M

Best Alternatives	Context / RAM	Downloads
124	1024K / 16.1 GB	93
162	1024K / 16.1 GB	60
157	1024K / 16.1 GB	101
118	1024K / 16.1 GB	15
A5.4	1024K / 16.1 GB	12
A3.4	1024K / 16.1 GB	13
A2.4	1024K / 16.1 GB	12
A6 L	1024K / 16.1 GB	201
M	1024K / 16.1 GB	127
2 Very Sci Fi	1024K / 16.1 GB	317

Note: green Score (e.g. "73.2") means that the model is better than igorktech/RuBit-LLama-63M.