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Gliese-4B-OSS-0410-GGUF
prithivMLmods/Gliese-4B-OSS-0410-GGUF
Gliese-4B-OSS-0410-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.
Gliese-4B-OSS-0410 is a reasoning-focused model fine-tuned on Qwen-4B for enhanced reasoning and polished token probability distributions, delivering balanced multilingual generation across mathematics and general-pur…
All-time downloads
2.9K
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Repo size
58.3 GB
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Repo makeup
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.gguf58.3 GB · 100%
At a glance
- Task
- Text Generation
- Library
- transformers
- License
- apache-2.0
- Model type
- qwen3
- Access
- Public
- Created
- Oct 4, 2025
- Updated
- Oct 5, 2025
- SHA
- e8477576
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Base models
Model card
From the Hugging Face model README
Gliese-4B-OSS-0410-GGUF
Gliese-4B-OSS-0410 is a reasoning-focused model fine-tuned on Qwen-4B for enhanced reasoning and polished token probability distributions, delivering balanced multilingual generation across mathematics and general-purpose reasoning tasks. The model is fine-tuned on curated GPT-OSS synthetic dataset entries, improving its ability to handle structured reasoning, probabilistic inference, and multilingual tasks with precision.
Model Files
| File Name | Quant Type | File Size |
|---|---|---|
| Gliese-4B-OSS-0410.BF16.gguf | BF16 | 8.05 GB |
| Gliese-4B-OSS-0410.F16.gguf | F16 | 8.05 GB |
| Gliese-4B-OSS-0410.F32.gguf | F32 | 16.1 GB |
| Gliese-4B-OSS-0410.Q2_K.gguf | Q2_K | 1.67 GB |
| Gliese-4B-OSS-0410.Q3_K_L.gguf | Q3_K_L | 2.24 GB |
| Gliese-4B-OSS-0410.Q3_K_M.gguf | Q3_K_M | 2.08 GB |
| Gliese-4B-OSS-0410.Q3_K_S.gguf | Q3_K_S | 1.89 GB |
| Gliese-4B-OSS-0410.Q4_K_M.gguf | Q4_K_M | 2.5 GB |
| Gliese-4B-OSS-0410.Q4_K_S.gguf | Q4_K_S | 2.38 GB |
| Gliese-4B-OSS-0410.Q5_K_M.gguf | Q5_K_M | 2.89 GB |
| Gliese-4B-OSS-0410.Q5_K_S.gguf | Q5_K_S | 2.82 GB |
| Gliese-4B-OSS-0410.Q6_K.gguf | Q6_K | 3.31 GB |
| Gliese-4B-OSS-0410.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
- en, zh
- Created
- Oct 4, 2025
- Updated
- Oct 5, 2025