What are the hardware requirements for Qwenftmodel?

Qwenftmodel requires approximately 6.2 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 Qwenftmodel and how large is it?

Qwenftmodel is developed by sumink, a model with 1.5b 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 Qwenftmodel?

Qwenftmodel is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwenftmodel by sumink — VRAM 6.2GB, 32K context

Name: Qwenftmodel
Author: sumink

Qwenftmodel is an open-source language model by sumink. Features: 1.5b LLM, VRAM: 6.2GB, Context: 32K, License: other, Code Generating, LLM Explorer Score: 0.19.

Codegen Qwen2 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/sumink/Qwenftmodel

Qwenftmodel Benchmarks

IFEval: 17.29 vs 88 (so35)^-80.4%

MATH Lvl 5: 8.91

LLME Score: 0.19283

^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)

🌟 Advertise your project 🚀

Qwenftmodel Parameters and Internals

LLM Name	Qwenftmodel
Repository 🤗	https://huggingface.co/sumink/Qwenftmodel
Model Size	1.5b
Required VRAM	6.2 GB
Updated	2026-04-24
Maintainer	sumink
Model Type	qwen2
Model Files	5.0 GB: 1-of-2 1.2 GB: 2-of-2
Generates Code	Yes
Model Architecture	Qwen2ForCausalLM
License	other
Context Length	32768
Model Max Length	32768
Transformers Version	4.45.0
Tokenizer Class	Qwen2Tokenizer
Padding Token	[PAD]
Vocabulary Size	151936
Torch Data Type	float32
Errors	replace

Best Alternatives to Qwenftmodel

Best Alternatives	Context / RAM	Downloads	Likes
Replete Coder Qwen2 1.5B	128K / 3.1 GB	233	23
Microcoder 1.5B	32K / 3.1 GB	652	5
Qwen2.5 Coder 1.5B	32K / 3.1 GB	618621	89
Qwen2.5 Coder 1.5B Instruct	32K / 3.1 GB	206886	118
...n2.5 Coder Draft 1.5B Instruct	32K / 3.1 GB	36	0
Zeta 1.5B Sft	32K / 3.1 GB	7	0
Arch Agent 1.5B	32K / 3.1 GB	545	9
ProseFlow V1.1.5B Instruct	32K / 3.1 GB	9	1
Arch Function Chat 1.5B	32K / 3.1 GB	151	0
Openhands Lm 1.5B V0.1	32K / 3.1 GB	9	12

Note: green Score (e.g. "73.2") means that the model is better than sumink/Qwenftmodel.

Rank the Qwenftmodel 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

What open-source LLMs or SLMs are you in search of? 53570 in total.

Email us: info@extractum.io. Our Privacy Policy | Terms and Conditions | Suggest an improvement.

Our Social Media →

Original data from HuggingFace, OpenCompass and various public git repos.

Check out Ag3ntum — our secure, self-hosted AI agent for server management.

Release v20260328a

Support LLM Explorer

Qwenftmodel by sumink

» All LLMs » sumink » Qwenftmodel URL Share it on

Qwenftmodel Benchmarks

Qwenftmodel Parameters and Internals

Best Alternatives to Qwenftmodel

Rank the Qwenftmodel Capabilities

What open-source LLMs or SLMs are you in search of? 53570 in total.