Math Custom Data is an open-source language model by amphora. Features: 7.6b LLM, VRAM: 15.2GB, Context: 128K, LLM Explorer Score: 0.31.
Model Card on HF 🤗: https://huggingface.co/amphora/math-custom-data
Math Custom Data Benchmarks
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
What is the LLM Explorer Rank (Score)
Math Custom Data Parameters and Internals
| LLM Name | Math Custom Data |
| Repository 🤗 | https://huggingface.co/amphora/math-custom-data |
| Model Size | 7.6b |
| Required VRAM | 15.2 GB |
| Updated | 2026-04-13 |
| Maintainer | amphora |
| Model Type | qwen2 |
| Model Files | |
| Model Architecture | Qwen2ForCausalLM |
| Context Length | 131072 |
| Model Max Length | 131072 |
| Transformers Version | 5.2.0 |
| Tokenizer Class | Qwen2Tokenizer |
| Padding Token | <|endoftext|> |
| Vocabulary Size | 152064 |
| Errors | replace |
Best Alternatives to Math Custom Data
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Quasar 3.7 | 986K / 15.2 GB | 805 | 0 |
| Quasar 3.3 Max | 986K / 15.2 GB | 132 | 0 |
| MawaredT1 | 128K / 15.2 GB | 2318 | 1 |
| Mergekit 01 | 128K / 16.2 GB | 5 | 0 |
| BBALAW1.6 | 128K / 15.2 GB | 7 | 0 |
| BBAI 525 Tsu GZ Xia0 | 128K / 15.2 GB | 11 | 0 |
| Nature Reason 1.2 Reallysmall | 128K / 15.2 GB | 27 | 1 |
| Exp 3 Q R | 128K / 15.2 GB | 5 | 0 |
| Marco LLM AR | 128K / 15.3 GB | 1626 | 0 |
| Marco LLM ES | 128K / 15.2 GB | 1274 | 1 |
Rank the Math Custom Data Capabilities
🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟
What open-source LLMs or SLMs are you in search of? 52832 in total.
Original data from HuggingFace, OpenCompass and various public git repos.
Check out Ag3ntum — our secure, self-hosted AI agent for server management.
Release v20260328a