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268
19% of all-time downloads
hex-1-f32-GGUF
prithivMLmods/hex-1-f32-GGUF
hex-1-f32-GGUF is a text generation model from prithivMLmods. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as apache-2.0.
Hex1 is a 4B parameter, open-source language model optimized for Indian languages, designed to address India’s linguistic diversity by enabling intelligent systems that natively understand and respond in Hindi, Kannad…
All-time downloads
1.4K
Public
Repo size
58.3 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.gguf58.3 GB · 100%
At a glance
- Task
- Text Generation
- Library
- transformers
- License
- apache-2.0
- Model type
- qwen3
- Access
- Public
- Created
- Aug 20, 2025
- Updated
- Aug 21, 2025
- SHA
- 74d86ae3
Base models
Model card
From the Hugging Face model README
hex-1-f32-GGUF
Hex1 is a 4B parameter, open-source language model optimized for Indian languages, designed to address India’s linguistic diversity by enabling intelligent systems that natively understand and respond in Hindi, Kannada, Telugu, Tamil, and Malayalam. Built on the Qwen/Qwen3-4B-Base, Hex1 outperforms leading models such as Gemma-2B, LLaMA-3.2-3B, and Sarvam-1 on key benchmarks like MMLU, making it one of the most capable options for Indic language tasks. The model supports commercial licensing to empower businesses and developers to build applications without restrictive usage terms, and promises future expansion to cover more Indian languages. With robust multilingual performance and accessible open-source availability, Hex1 aims to include the 90% of India’s population underserved by English-centric AI, unlocking the potential of Generative AI across India’s rich linguistic landscape.
Model Files
| File Name | Quant Type | File Size |
|---|---|---|
| hex-1.BF16.gguf | BF16 | 8.05 GB |
| hex-1.F16.gguf | F16 | 8.05 GB |
| hex-1.F32.gguf | F32 | 16.1 GB |
| hex-1.Q2_K.gguf | Q2_K | 1.67 GB |
| hex-1.Q3_K_L.gguf | Q3_K_L | 2.24 GB |
| hex-1.Q3_K_M.gguf | Q3_K_M | 2.08 GB |
| hex-1.Q3_K_S.gguf | Q3_K_S | 1.89 GB |
| hex-1.Q4_K_M.gguf | Q4_K_M | 2.5 GB |
| hex-1.Q4_K_S.gguf | Q4_K_S | 2.38 GB |
| hex-1.Q5_K_M.gguf | Q5_K_M | 2.89 GB |
| hex-1.Q5_K_S.gguf | Q5_K_S | 2.82 GB |
| hex-1.Q6_K.gguf | Q6_K | 3.31 GB |
| hex-1.Q8_0.gguf | Q8_0 | 4.28 GB |
Quants Usage
(sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)
Here is a handy graph by ikawrakow comparing some lower-quality quant types (lower is better):
- Task
- Text Generation
- Library
- transformers
- Type
- qwen3
- License
- apache-2.0
- Languages
- hi, te, ta, ml, kn, en
- Created
- Aug 20, 2025
- Updated
- Aug 21, 2025