What are the hardware requirements for Ornith 1.5 35B A3B GPTQ Int4 Sym G128 MTP BF16 MixedCal V2?

Ornith 1.5 35B A3B GPTQ Int4 Sym G128 MTP BF16 MixedCal V2 requires approximately 24.4 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Where can I download or evaluate Ornith 1.5 35B A3B GPTQ Int4 Sym G128 MTP BF16 MixedCal V2?

Ornith 1.5 35B A3B GPTQ Int4 Sym G128 MTP BF16 MixedCal V2 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Ornith 1.5 35B A3B GPTQ Int4 Sym G128 MTP BF16 MixedCal V2 by SergiioB — VRAM 24.4GB

Name: Ornith 1.5 35B A3B GPTQ Int4 Sym G128 MTP BF16 MixedCal V2
Author: SergiioB

Ornith 1.5 35B A3B GPTQ Int4 Sym G128 MTP BF16 MixedCal V2 is an open-source language model by SergiioB. Features: 35b LLM, VRAM: 24.4GB, License: apache-2.0, Quantized, LLM Explorer Score: 0.3.

4-bit Arc-pro-b70 Base model:ornith-ai/ornith-1.... Base model:quantized:ornith-ai... Conversational Endpoints compatible Gptq Image-text-to-text Int4 Intel Moe Mtp Quantized Qwen3 5 moe Region:us Safetensors Sharded Tensorflow Vllm

Model Card on HF 🤗: https://huggingface.co/SergiioB/Ornith-1.5-35B-A3B-GPTQ-Int4-sym-G128-MTP-BF16-MixedCal-v2

Ornith 1.5 35B A3B GPTQ Int4 Sym G128 MTP BF16 MixedCal V2 Parameters and Internals

LLM Name	Ornith 1.5 35B A3B GPTQ Int4 Sym G128 MTP BF16 MixedCal V2
Repository 🤗	https://huggingface.co/SergiioB/Ornith-1.5-35B-A3B-GPTQ-Int4-sym-G128-MTP-BF16-MixedCal-v2
Base Model(s)	ornith-ai/Ornith-1.5-35B-A3B ornith-ai/Ornith-1.5-35B-A3B
Model Size	35b
Required VRAM	24.4 GB
Updated	2026-08-23
Maintainer	SergiioB
Model Type	qwen3_5_moe
Model Files	4.3 GB: 1-of-6 4.3 GB: 2-of-6 4.3 GB: 3-of-6 4.3 GB: 4-of-6 4.3 GB: 5-of-6 2.9 GB: 6-of-6
GPTQ Quantization	Yes
Quantization Type	gptq
Model Architecture	Qwen3_5MoeForConditionalGeneration
License	apache-2.0
Model Max Length	262144
Transformers Version	5.15.0
Tokenizer Class	Qwen2TokenizerFast
Padding Token	<\|endoftext\|>
Errors	replace

Rank the Ornith 1.5 35B A3B GPTQ Int4 Sym G128 MTP BF16 MixedCal V2 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 1.5 35B A3B GPTQ Int4 Sym G128 MTP BF16 MixedCal V2

Best Alternatives	Context / RAM	Downloads	Likes
Qwen3.6 35B A3B GPTQ Int4	0K / 22.7 GB	282964	29
...A3B GPTQ INT4 W4A16 LowLatency	0K / 19.3 GB	19	1
Qwen3.5 35B A3B GPTQ Int4	0K / 24.3 GB	453653	92
Qwen3.5 35B A3B GPTQ Int4	0K / 21.7 GB	31	4
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
Qwen3.6 35B A3B MLX 8bit	0K / 37.8 GB	3862	41
Nail Qwen3.6 35B A3B MLX 5bit	0K / 27.5 GB	83	1

Note: green Score (e.g. "73.2") means that the model is better than SergiioB/Ornith-1.5-35B-A3B-GPTQ-Int4-sym-G128-MTP-BF16-MixedCal-v2.