What are the hardware requirements for Ornith Agents A1 3.7 35B A3B Dare Ties V4?

Ornith Agents A1 3.7 35B A3B Dare Ties V4 requires approximately 70.3 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Ornith Agents A1 3.7 35B A3B Dare Ties V4 and how large is it?

Ornith Agents A1 3.7 35B A3B Dare Ties V4 is developed by tepirale, 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 Ornith Agents A1 3.7 35B A3B Dare Ties V4?

Ornith Agents A1 3.7 35B A3B Dare Ties V4 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Ornith Agents A1 3.7 35B A3B Dare Ties V4 by tepirale — VRAM 70.3GB

Name: Ornith Agents A1 3.7 35B A3B Dare Ties V4
Author: tepirale

Ornith Agents A1 3.7 35B A3B Dare Ties V4 is an open-source language model by tepirale. Features: 35b LLM, VRAM: 70.3GB, Merged, LLM Explorer Score: 0.25.

Merged Model Arxiv:2311.03099 Base model:deepreinforce-ai/or... Base model:internscience/agent... Base model:qwen/qwen3.5-35b-a3... Base model:qwen/qwen3.6-35b-a3... Conversational Endpoints compatible Image-text-to-text Qwen3 5 moe Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/tepirale/Ornith-Agents-A1-3.7-35B-A3B-dare_ties_v4

Ornith Agents A1 3.7 35B A3B Dare Ties V4 Parameters and Internals

LLM Name	Ornith Agents A1 3.7 35B A3B Dare Ties V4
Repository 🤗	https://huggingface.co/tepirale/Ornith-Agents-A1-3.7-35B-A3B-dare_ties_v4
Base Model(s)	Agents A1 Qwen/Qwen3.6-35B-A3B Qwen/Qwen3.5-35B-A3B deepreinforce-ai/Ornith-1.0-35B InternScience/Agents-A1 Qwen/Qwen3.6-35B-A3B Qwen/Qwen3.5-35B-A3B deepreinforce-ai/Ornith-1.0-35B
Merged Model	Yes
Model Size	35b
Required VRAM	70.3 GB
Updated	2026-08-15
Maintainer	tepirale
Model Type	qwen3_5_moe
Model Files	4.3 GB: 1-of-16 4.5 GB: 2-of-16 5.0 GB: 3-of-16 4.0 GB: 4-of-16 4.5 GB: 5-of-16 5.0 GB: 6-of-16 4.0 GB: 7-of-16 5.0 GB: 8-of-16 4.5 GB: 9-of-16 5.0 GB: 10-of-16 4.0 GB: 11-of-16 4.5 GB: 12-of-16 5.0 GB: 13-of-16 4.0 GB: 14-of-16 4.5 GB: 15-of-16 2.5 GB: 16-of-16
Model Architecture	Qwen3_5MoeForConditionalGeneration
Model Max Length	262144
Transformers Version	5.8.1
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Errors	replace

Rank the Ornith Agents A1 3.7 35B A3B Dare Ties V4 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 Ornith Agents A1 3.7 35B A3B Dare Ties V4

Best Alternatives	Context / RAM	Downloads	Likes
....5 35B A3B Sceptic V3 1M W4A16	1024K / 26.1 GB	223	0
...AgentWorld 35B A3B Abliterated	256K / 69.2 GB	962	18
Ornith 1.5 35B A3B NPU2	256K / GB	58	0
Qwen3.6 35B A3B NPU2	256K / GB	82	0
Qwen3.6 35B A3B	0K / 72.2 GB	5540855	2648
Qwen3.5 35B A3B	0K / 72.3 GB	2158511	1482
JEV 35B	0K / 72.3 GB	713162	403
Qwen3.6 35B A3B NVFP4	0K / 23.4 GB	8788684	482
Ornith 1.0 35B	0K / 70.4 GB	1476419	519
Qwen3.6 35B A3B FP8	0K / 0.8 GB	8984811	343

Note: green Score (e.g. "73.2") means that the model is better than tepirale/Ornith-Agents-A1-3.7-35B-A3B-dare_ties_v4.