license, language, base_model, pipeline_tag, library_name, tags

license	language	base_model	pipeline_tag	library_name	tags
apache-2.0	en	prithivMLmods/Ross-640-BMath-1.5B	text-generation	transformers	text-generation-inference math

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):