What are the hardware requirements for Arch Function 7B?

Arch Function 7B requires approximately 15.2 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 Arch Function 7B and how large is it?

Arch Function 7B is developed by katanemo, a model with 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 Arch Function 7B?

Arch Function 7B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Arch Function 7B by katanemo — VRAM 15.2GB, 32K context

Name: Arch Function 7B
Author: katanemo

Arch Function 7B is an open-source language model by katanemo. Features: 7b LLM, VRAM: 15.2GB, Context: 32K, License: other, Instruction-Based, Code Generating, LLM Explorer Score: 0.15.

Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-coder-... Codegen Conversational En Endpoints compatible Instruct Qwen2 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/katanemo/Arch-Function-7B

Arch Function 7B Parameters and Internals

Model Type

text generation

Additional Notes

The model is highly optimized for low-latency, high-throughput scenarios.

Supported Languages

en (proficient)

Input Output

Input Format:

Expected input is aligned with task-specific prompts for function calling.

Accepted Modalities:

text

Output Format:

JSON format for function calls.

Performance Tips:

For optimal performance, use the specified prompt format.

LLM Name	Arch Function 7B
Repository 🤗	https://huggingface.co/katanemo/Arch-Function-7B
Base Model(s)	Qwen/Qwen2.5-Coder-7B-Instruct Qwen/Qwen2.5-Coder-7B-Instruct
Model Size	7b
Required VRAM	15.2 GB
Updated	2026-08-03
Maintainer	katanemo
Model Type	qwen2
Instruction-Based	Yes
Model Files	4.9 GB: 1-of-4 4.9 GB: 2-of-4 4.3 GB: 3-of-4 1.1 GB: 4-of-4
Supported Languages	en
Generates Code	Yes
Model Architecture	Qwen2ForCausalLM
License	other
Context Length	32768
Model Max Length	32768
Transformers Version	4.43.2
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	152064
Torch Data Type	bfloat16
Errors	replace

Rank the Arch Function 7B 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 Arch Function 7B

Best Alternatives	Context / RAM	Downloads	Likes
Qwen2.5 7B Rebase	986K / 15.2 GB	73	2
Qwen2.5 7B Rebase	986K / 15.2 GB	16	2
StockQwen 2.5 7B	128K / 15.2 GB	69	6
DareQwen 2.5 7B	128K / 15.2 GB	11	1
Tessa T1 7B	117K / 15.2 GB	14	10
UIGEN T1.5 7B	117K / 15.2 GB	12	6
Qwen2.5 Coder 7B Instruct	32K / 15.2 GB	2019400	765
Vibe Coder 7B Max	32K / 15.3 GB	460	1
Finsec Detector	32K / 15.2 GB	390	1
Qwen2.5 Coder Malay 7B	32K / 15.2 GB	195	1

Note: green Score (e.g. "73.2") means that the model is better than katanemo/Arch-Function-7B.