What are the hardware requirements for Qwen3 1.7B Cpt 0605?

Qwen3 1.7B Cpt 0605 requires approximately 3.4 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen3 1.7B Cpt 0605 and how large is it?

Qwen3 1.7B Cpt 0605 is developed by ntkhoi, 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 Cpt 0605?

Qwen3 1.7B Cpt 0605 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3 1.7B Cpt 0605 by ntkhoi — VRAM 3.4GB, 32K context

Name: Qwen3 1.7B Cpt 0605
Author: ntkhoi

Qwen3 1.7B Cpt 0605 is an open-source language model by ntkhoi. Features: 1.7b LLM, VRAM: 3.4GB, Context: 32K, License: apache-2.0, LLM Explorer Score: 0.19.

Autotrain compatible Base model:finetune:unsloth/qw... Base model:unsloth/qwen3-1.7b-... En Endpoints compatible Qwen3 Region:us Safetensors Sft Trl Unsloth

Model Card on HF 🤗: https://huggingface.co/ntkhoi/qwen3-1.7b-cpt-0605

Qwen3 1.7B Cpt 0605 Benchmarks

LLME Score: 0.19317

^nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

What is the LLM Explorer Rank (Score)

Qwen3 1.7B Cpt 0605 (ntkhoi/qwen3-1.7b-cpt-0605)

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Qwen3 1.7B Cpt 0605 Parameters and Internals

LLM Name	Qwen3 1.7B Cpt 0605
Repository 🤗	https://huggingface.co/ntkhoi/qwen3-1.7b-cpt-0605
Base Model(s)	unsloth/Qwen3-1.7B-Base unsloth/Qwen3-1.7B-Base
Model Size	1.7b
Required VRAM	3.4 GB
Updated	2025-09-18
Maintainer	ntkhoi
Model Type	qwen3
Model Files	3.4 GB
Supported Languages	en
Model Architecture	Qwen3ForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.52.4
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|vision_pad\|>
Vocabulary Size	151936
Torch Data Type	bfloat16
Errors	replace

Best Alternatives to Qwen3 1.7B Cpt 0605

Best Alternatives	Context / RAM	Downloads	Likes
Lucy 128K	128K / 3.4 GB	2757	109
Polaris 1.7B Preview	128K / 3.4 GB	32	8
DictaLM 3.0 1.7B Instruct	60K / 3.4 GB	1105	1
Qwen3 1.7B	40K / 4 GB	4253852	457
Supertron2 1.7B	40K / 3.4 GB	1260	5
Qwen3 1.7B Fft Coding	40K / 4.1 GB	1343	0
...up Qwen3 1.7B Datav3 Only Mask	40K / 4.1 GB	2256	0
...3 1.7B Datav3 Only Mask W Item	40K / 4.1 GB	1554	0
Qwen3 1.7B Fft Math	40K / 4.1 GB	804	0
...B Datav3 Only Mask W Item Mesh	40K / 4.1 GB	450	0

Note: green Score (e.g. "73.2") means that the model is better than ntkhoi/qwen3-1.7b-cpt-0605.

Rank the Qwen3 1.7B Cpt 0605 Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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

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Qwen3 1.7B Cpt 0605 by ntkhoi

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Qwen3 1.7B Cpt 0605 Benchmarks

Qwen3 1.7B Cpt 0605 Parameters and Internals

Best Alternatives to Qwen3 1.7B Cpt 0605

Rank the Qwen3 1.7B Cpt 0605 Capabilities

What open-source LLMs or SLMs are you in search of? 53913 in total.