What are the hardware requirements for Focus Red?

Focus Red requires approximately 53.8 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 Focus Red and how large is it?

Focus Red is developed by Jaidchen, a model with 27b 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 Focus Red?

Focus Red is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Focus Red by Jaidchen — VRAM 53.8GB, 256K context

Name: Focus Red
Author: Jaidchen

Focus Red is an open-source language model by Jaidchen. Features: 27b LLM, VRAM: 53.8GB, Context: 256K, License: apache-2.0.

Agentic Base model:finetune:qwen/qwen3... Base model:qwen/qwen3.8-27b Coding Conversational Dense Endpoints compatible Qwen3 5 text Region:us Repackaged Safetensors Unimodal

Model Card on HF 🤗: https://huggingface.co/Jaidchen/Focus-Red

Focus Red Parameters and Internals

LLM Name	Focus Red
Repository 🤗	https://huggingface.co/Jaidchen/Focus-Red
Base Model(s)	Qwen/Qwen3.8-27B Qwen/Qwen3.8-27B
Model Size	27b
Required VRAM	53.8 GB
Updated	2026-08-17
Maintainer	Jaidchen
Model Type	qwen3_5_text
Model Files	53.8 GB
Model Architecture	Qwen3_5ForCausalLM
License	apache-2.0
Context Length	262144
Model Max Length	262144
Transformers Version	5.8.0.dev0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	248320
Errors	replace

Rank the Focus Red 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 Focus Red

Best Alternatives	Context / RAM	Downloads	Likes
Qwen3.6 27B OBLITERATED	256K / 53.6 GB	15137	184
...wen3.8 P44w75 16.8B Unrepaired	256K / 2.4 GB	929	1
...2 Abliterated OptiQ 3.7bpw Mlx	256K / 13.4 GB	6727	14
...2 Abliterated OptiQ 3.7bpw Mlx	256K / 13.4 GB	5919	14
Qwen3.6 27B Esper4	256K / 55.6 GB	292	19
Ornstein 3.6 27B RYS	256K / 56.8 GB	397	1
Qwen3.6 Solidity 27B	256K / 53.8 GB	87	6
Qwen3.6 27B Tachibana Agent	256K / 55.6 GB	60	7
Carnice 27B	256K / 53.7 GB	27	36
...wopus3.5 27B V3 FP8 Vllm Ready	256K / 29.4 GB	50	17

Note: green Score (e.g. "73.2") means that the model is better than Jaidchen/Focus-Red.