What are the hardware requirements for Viper Coder HybridMini V1.3?

Viper Coder HybridMini V1.3 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 Viper Coder HybridMini V1.3 and how large is it?

Viper Coder HybridMini V1.3 is developed by prithivMLmods, 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 Viper Coder HybridMini V1.3?

Viper Coder HybridMini V1.3 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Viper Coder HybridMini V1.3 by prithivMLmods — VRAM 15.2GB, 32K context

Name: Viper Coder HybridMini V1.3
Author: prithivMLmods

Viper Coder HybridMini V1.3 is an open-source language model by prithivMLmods. Features: 7b LLM, VRAM: 15.2GB, Context: 32K, License: apache-2.0, Instruction-Based, Code Generating, LLM Explorer Score: 0.26.

7b Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-7b-ins... Codegen Coder Conversational En Endpoints compatible Instruct Model-index Qwen2 Region:us Safetensors Sharded Tensorflow Trl Zh

Model Card on HF 🤗: https://huggingface.co/prithivMLmods/Viper-Coder-HybridMini-v1.3

Viper Coder HybridMini V1.3 Parameters and Internals

LLM Name	Viper Coder HybridMini V1.3
Repository 🤗	https://huggingface.co/prithivMLmods/Viper-Coder-HybridMini-v1.3
Base Model(s)	Qwen/Qwen2.5-7B-Instruct Qwen/Qwen2.5-7B-Instruct
Model Size	7b
Required VRAM	15.2 GB
Updated	2026-08-08
Maintainer	prithivMLmods
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 zh
Generates Code	Yes
Model Architecture	Qwen2ForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.48.3
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	152064
Torch Data Type	float16
Errors	replace

Rank the Viper Coder HybridMini V1.3 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 Viper Coder HybridMini V1.3

Best Alternatives	Context / RAM	Downloads	Likes
Qwen2.5 7B Rebase	986K / 15.2 GB	73	2
Qwen2.5 7B Rebase	986K / 15.2 GB	17	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
...Sft Reasoning Official Full Ft	32K / 15.2 GB	464	0
Vibe Coder 7B Max	32K / 15.3 GB	460	1
Finsec Detector	32K / 15.2 GB	390	1

Note: green Score (e.g. "73.2") means that the model is better than prithivMLmods/Viper-Coder-HybridMini-v1.3.