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Ross-640-BMath-1.5B-GGUF
prithivMLmods/Ross-640-BMath-1.5B-GGUF
Ross-640-BMath-1.5B-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.
Ross-640-BMath-1.5B is an experimental, high-precision math explanation model fine-tuned on Qwen2-1.5B, designed to provide step-by-step mathematical derivations and detailed concept explanations across a wide range o…
All-time downloads
1.4K
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Repo size
22.6 GB
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0
Public
Repo makeup
Click a slice to open those files.
.gguf22.6 GB · 100%
At a glance
- Task
- Text Generation
- Library
- transformers
- License
- apache-2.0
- Model type
- qwen2
- Access
- Public
- Created
- Jun 11, 2025
- Updated
- Jun 16, 2025
- SHA
- 31e97dfc
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Base models
Model card
From the Hugging Face model README
Ross-640-BMath-1.5B-GGUF
Ross-640-BMath-1.5B is an experimental, high-precision math explanation model fine-tuned on Qwen2-1.5B, designed to provide step-by-step mathematical derivations and detailed concept explanations across a wide range of mathematical domains. It is not optimized for general reasoning or conversation, and focuses primarily on structured, non-reasoning math workflows including algebra, calculus, number theory, and combinatorics.
Model Files
| File Name | Size | Format | Description |
|---|---|---|---|
| Ross-640-BMath-1.5B.F32.gguf | 6.18 GB | F32 | Full precision 32-bit floating point |
| Ross-640-BMath-1.5B.F16.gguf | 3.09 GB | F16 | Half precision 16-bit floating point |
| Ross-640-BMath-1.5B.BF16.gguf | 3.09 GB | BF16 | Brain floating point 16-bit |
| Ross-640-BMath-1.5B.Q8_0.gguf | 1.65 GB | Q8_0 | 8-bit quantized |
| Ross-640-BMath-1.5B.Q6_K.gguf | 1.27 GB | Q6_K | 6-bit quantized |
| Ross-640-BMath-1.5B.Q5_K_M.gguf | 1.13 GB | Q5_K_M | 5-bit quantized, medium quality |
| Ross-640-BMath-1.5B.Q5_K_S.gguf | 1.1 GB | Q5_K_S | 5-bit quantized, small quality |
| Ross-640-BMath-1.5B.Q4_K_M.gguf | 986 MB | Q4_K_M | 4-bit quantized, medium quality |
| Ross-640-BMath-1.5B.Q4_K_S.gguf | 940 MB | Q4_K_S | 4-bit quantized, small quality |
| Ross-640-BMath-1.5B.Q3_K_L.gguf | 880 MB | Q3_K_L | 3-bit quantized, large quality |
| Ross-640-BMath-1.5B.Q3_K_M.gguf | 824 MB | Q3_K_M | 3-bit quantized, medium quality |
| Ross-640-BMath-1.5B.Q3_K_S.gguf | 761 MB | Q3_K_S | 3-bit quantized, small quality |
| Ross-640-BMath-1.5B.Q2_K.gguf | 676 MB | Q2_K | 2-bit quantized |
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
- qwen2
- License
- apache-2.0
- Languages
- en
- Created
- Jun 11, 2025
- Updated
- Jun 16, 2025