What are the hardware requirements for Lyrical MT Ru2en IIb Qwen3 4B It R256?

Lyrical MT Ru2en IIb Qwen3 4B It R256 requires approximately 8.1 GB of VRAM and supports a context window of 256K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Lyrical MT Ru2en IIb Qwen3 4B It R256 and how large is it?

Lyrical MT Ru2en IIb Qwen3 4B It R256 is developed by AlekseyCalvin, a model with 4b 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 Lyrical MT Ru2en IIb Qwen3 4B It R256?

Lyrical MT Ru2en IIb Qwen3 4B It R256 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Lyrical MT Ru2en IIb Qwen3 4B It R256 by AlekseyCalvin — VRAM 8.1GB, 256K context

Name: Lyrical MT Ru2en IIb Qwen3 4B It R256
Author: AlekseyCalvin

Lyrical MT Ru2en IIb Qwen3 4B It R256 is an open-source language model by AlekseyCalvin. Features: 4b LLM, VRAM: 8.1GB, Context: 256K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.19.

Arxiv:2505.09388 Base model:finetune:qwen/qwen3... Base model:qwen/qwen3-4b-instr... Conversational Endpoints compatible Instruct Qwen3 Region:us Safetensors Sharded Tensorflow Unsloth

Model Card on HF 🤗: https://huggingface.co/AlekseyCalvin/Lyrical_MT_ru2en_IIb_Qwen3_4B_it_r256

Lyrical MT Ru2en IIb Qwen3 4B It R256 Parameters and Internals

LLM Name	Lyrical MT Ru2en IIb Qwen3 4B It R256
Repository 🤗	https://huggingface.co/AlekseyCalvin/Lyrical_MT_ru2en_IIb_Qwen3_4B_it_r256
Base Model(s)	Qwen3 4B Instruct 2507 Qwen/Qwen3-4B-Instruct-2507
Model Size	4b
Required VRAM	8.1 GB
Updated	2026-09-22
Maintainer	AlekseyCalvin
Model Type	qwen3
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-2 3.1 GB: 2-of-2
Model Architecture	Qwen3ForCausalLM
License	apache-2.0
Context Length	262144
Model Max Length	262144
Transformers Version	4.55.0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|vision_pad\|>
Vocabulary Size	151936
Torch Data Type	bfloat16
Errors	replace

Rank the Lyrical MT Ru2en IIb Qwen3 4B It R256 capabilities

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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 Lyrical MT Ru2en IIb Qwen3 4B It R256

Best Alternatives	Context / RAM	Downloads	Likes
Qwen3 4B Instruct 2507	256K / 8.1 GB	3109972	911
FastContext 1.0 4B SFT	256K / 8.1 GB	5735	357
Voho Saudi Chat 4B	256K / 8 GB	468	1
Fable Traces	256K / 8.1 GB	342	210
FastContext 1.0 4B RL	256K / 8.1 GB	4559	61
Hades 4B Abliterated	256K / 8.1 GB	173	1
Qwen3 4B Instruct 2507 FP8	256K / 5.2 GB	1100744	78
...en3 4B Instruct 2507 Depressed	256K / 8.1 GB	215	1
Qwen3 4B Cuad Extractor	256K / 8.1 GB	322	1
Qwen Fine Tuned	256K / 8 GB	293	1

Note: green Score (e.g. "73.2") means that the model is better than AlekseyCalvin/Lyrical_MT_ru2en_IIb_Qwen3_4B_it_r256.