What are the hardware requirements for Qwen3 1.7B Mixture Of Thought?

Qwen3 1.7B Mixture Of Thought requires approximately 4 GB of VRAM and supports a context window of 40K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen3 1.7B Mixture Of Thought and how large is it?

Qwen3 1.7B Mixture Of Thought is developed by ertghiu256, a model with 1.7b 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 Qwen3 1.7B Mixture Of Thought?

Qwen3 1.7B Mixture Of Thought is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3 1.7B Mixture Of Thought by ertghiu256 — VRAM 4GB, 40K context

Name: Qwen3 1.7B Mixture Of Thought
Author: ertghiu256

Qwen3 1.7B Mixture Of Thought is an open-source language model by ertghiu256. Features: 1.7b LLM, VRAM: 4GB, Context: 40K, License: apache-2.0, Quantized, LLM Explorer Score: 0.19.

Base model:quantized:qwen/qwen... Base model:qwen/qwen3-1.7b Conversational Dataset:mlabonne/finetome-100k Dataset:open-r1/mixture-of-tho... Endpoints compatible Gguf Q4 Quantized Qwen3 Reasoning Region:us Safetensors Sharded Tensorflow Think

Model Card on HF 🤗: https://huggingface.co/ertghiu256/qwen3-1.7b-mixture-of-thought

Qwen3 1.7B Mixture Of Thought Parameters and Internals

LLM Name	Qwen3 1.7B Mixture Of Thought
Repository 🤗	https://huggingface.co/ertghiu256/qwen3-1.7b-mixture-of-thought
Base Model(s)	Qwen/Qwen3-1.7B Qwen/Qwen3-1.7B
Model Size	1.7b
Required VRAM	4 GB
Updated	2026-08-02
Maintainer	ertghiu256
Model Type	qwen3
Model Files	3.4 GB: 1-of-2 0.6 GB: 2-of-2 1.3 GB 2.2 GB
GGUF Quantization	Yes
Quantization Type	gguf\|q4\|q4_k
Model Architecture	Qwen3ForCausalLM
License	apache-2.0
Context Length	40960
Model Max Length	40960
Transformers Version	4.53.2
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|vision_pad\|>
Vocabulary Size	151936
Torch Data Type	float16
Errors	replace

Rank the Qwen3 1.7B Mixture Of Thought capabilities

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Instruction Following and Task Automation
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Text Generation
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Multi-Language Support and Translation

Best Alternatives to Qwen3 1.7B Mixture Of Thought

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... Deepseek R1 0528 Distillation	40K / 4 GB	167	3
Qwen3 1.7B MLX 4bit	64K / 0.9 GB	868	4
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Qwen3 1.7B Unsloth Bnb 4bit	40K / 1.4 GB	53710	12
Qwen3 1.7B 4bit	40K / 1 GB	14082	6
Qwen3 1.7B Bnb 4bit	40K / 1.4 GB	3227	5
Qwen3 1.7B 4bit DWQ 053125	40K / 1 GB	596	2

Note: green Score (e.g. "73.2") means that the model is better than ertghiu256/qwen3-1.7b-mixture-of-thought.