What are the hardware requirements for Darwin 35B A3B Opus Q8 GGUF?

Darwin 35B A3B Opus Q8 GGUF requires approximately 10.7 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Darwin 35B A3B Opus Q8 GGUF and how large is it?

Darwin 35B A3B Opus Q8 GGUF is developed by FINAL-Bench, a model with 35b 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 Darwin 35B A3B Opus Q8 GGUF?

Darwin 35B A3B Opus Q8 GGUF is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Darwin 35B A3B Opus Q8 GGUF by FINAL-Bench — VRAM 10.7GB

Name: Darwin 35B A3B Opus Q8 GGUF
Author: FINAL-Bench

Darwin 35B A3B Opus Q8 GGUF is an open-source language model by FINAL-Bench. Features: 35b LLM, VRAM: 10.7GB, License: apache-2.0, Quantized, Merged, LLM Explorer Score: 0.24.

Merged Model Arxiv:2605.14386 262k-context Apache-2.0 Ar Base model:final-bench/darwin-... Base model:quantized:final-ben... Claude-opus Coding-agent Conversational Darwin Darwin-v5 De Distillation En Endpoints compatible Es Fr Gguf Gpqa Ja Ko Llama-cpp Long-context Mixture-of-experts Model-index Moe Multilingual Open-source Q8 Q8 0 Quantized Qwen Qwen3.5 Qwen3 5 moe Reasoning Region:us Ru Tool-calling Zh

Model Card on HF 🤗: https://huggingface.co/FINAL-Bench/Darwin-35B-A3B-Opus-Q8-GGUF

Darwin 35B A3B Opus Q8 GGUF Parameters and Internals

LLM Name	Darwin 35B A3B Opus Q8 GGUF
Repository 🤗	https://huggingface.co/FINAL-Bench/Darwin-35B-A3B-Opus-Q8-GGUF
Base Model(s)	Darwin 35B A3B Opus FINAL-Bench/Darwin-35B-A3B-Opus
Merged Model	Yes
Model Size	35b
Required VRAM	10.7 GB
Updated	2026-08-03
Maintainer	FINAL-Bench
Model Type	qwen3_5_moe
Model Files	13.6 GB: 1-of-3 12.5 GB: 2-of-3 10.7 GB: 3-of-3
Supported Languages	en zh ko ja de fr es ru ar
GGUF Quantization	Yes
Quantization Type	gguf\|q8\|q8_0
Model Architecture	Qwen3_5MoeForConditionalGeneration
License	apache-2.0
Transformers Version	5.4.0

Rank the Darwin 35B A3B Opus Q8 GGUF 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 Darwin 35B A3B Opus Q8 GGUF

Best Alternatives	Context / RAM	Downloads	Likes
Qwen3.5 35B A3B GGUF	0K / 0.9 GB	135718	862
BigBang Aquila 35B Merged	0K / 70.3 GB	81	0
...35B A3B NSC ACE SABER GGUF MTP	0K / 0.9 GB	20997	20
...ERATUS Hermes MTP Vision Llama	0K / 0.9 GB	453	1
...RATUS Hermes MTP Vision Ollama	0K / 0.9 GB	110	2
AgentWorld 35B A3B Heretic	0K / 70.4 GB	0	1
Qwen3.6 35B A3B MLX 4bit	0K / 20.5 GB	513193	6
Qwen3.6 35B A3B MLX 6bit	0K / 28.9 GB	478592	2
Qwen3.6 35B A3B MLX 8bit	0K / 37.8 GB	473537	1
Qwen3.6 35B A3B UD MLX 4bit	0K / 21.6 GB	15720	112

Note: green Score (e.g. "73.2") means that the model is better than FINAL-Bench/Darwin-35B-A3B-Opus-Q8-GGUF.