What are the hardware requirements for Qwen3 1.7B Fft Coding?

Qwen3 1.7B Fft Coding requires approximately 4.1 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 Fft Coding and how large is it?

Qwen3 1.7B Fft Coding is developed by KKHYA, 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 Fft Coding?

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

Qwen3 1.7B Fft Coding by KKHYA — VRAM 4.1GB, 40K context

Name: Qwen3 1.7B Fft Coding
Author: KKHYA

Qwen3 1.7B Fft Coding is an open-source language model by KKHYA. Features: 1.7b LLM, VRAM: 4.1GB, Context: 40K, License: apache-2.0, LLM Explorer Score: 0.33.

Base model:finetune:qwen/qwen3... Base model:qwen/qwen3-1.7b Conversational Endpoints compatible Full Generated from trainer Llama-factory Qwen3 Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/KKHYA/qwen3-1.7b-fft-coding

Qwen3 1.7B Fft Coding Benchmarks

LLME Score: 0.3329

^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 Fft Coding (KKHYA/qwen3-1.7b-fft-coding)

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Qwen3 1.7B Fft Coding Parameters and Internals

LLM Name	Qwen3 1.7B Fft Coding
Repository 🤗	https://huggingface.co/KKHYA/qwen3-1.7b-fft-coding
Base Model(s)	Qwen/Qwen3-1.7B Qwen/Qwen3-1.7B
Model Size	1.7b
Required VRAM	4.1 GB
Updated	2026-05-01
Maintainer	KKHYA
Model Type	qwen3
Model Files	4.1 GB 0.0 GB
Model Architecture	Qwen3ForCausalLM
License	apache-2.0
Context Length	40960
Model Max Length	40960
Transformers Version	5.2.0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Errors	replace

Best Alternatives to Qwen3 1.7B Fft Coding

Best Alternatives	Context / RAM	Downloads	Likes
Lucy 128K	128K / 3.4 GB	425	109
Polaris 1.7B Preview	128K / 3.4 GB	72	8
DictaLM 3.0 1.7B Instruct	60K / 3.4 GB	5809	1
Qwen3 1.7B	40K / 4 GB	6203232	453
...up Qwen3 1.7B Datav3 Only Mask	40K / 4.1 GB	2081	0
Qwen3 1.7B Fft Math	40K / 4.1 GB	355	0
Personal Finance R2	40K / 3.4 GB	675	1
BioGenesis ToT	40K / 3.4 GB	245	1
Med O1 1.7B	40K / 3.4 GB	175	1
Qwen3 1.7B	40K / 3.4 GB	85720	10

Note: green Score (e.g. "73.2") means that the model is better than KKHYA/qwen3-1.7b-fft-coding.

Rank the Qwen3 1.7B Fft Coding Capabilities

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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 Fft Coding by KKHYA

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Qwen3 1.7B Fft Coding Benchmarks

Qwen3 1.7B Fft Coding Parameters and Internals

Best Alternatives to Qwen3 1.7B Fft Coding

Rank the Qwen3 1.7B Fft Coding Capabilities

What open-source LLMs or SLMs are you in search of? 53373 in total.