Math SFT V4 4ksteps is an open-source language model by GabrielMM. Features: 494m LLM, VRAM: 1GB, Context: 32K, LLM Explorer Score: 0.19.
Arxiv:1910.09700 Autotrain compatible Conversational Endpoints compatible Qwen2 Region:us Safetensors
Model Card on HF 🤗: https://huggingface.co/GabrielMM/Math_SFT_v4_4ksteps
Math SFT V4 4ksteps 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 SFT V4 4ksteps Parameters and Internals
| LLM Name | Math SFT V4 4ksteps |
| Repository 🤗 | https://huggingface.co/GabrielMM/Math_SFT_v4_4ksteps |
| Model Size | 494m |
| Required VRAM | 1 GB |
| Updated | 2025-09-23 |
| Maintainer | GabrielMM |
| Model Type | qwen2 |
| Model Files | |
| Model Architecture | Qwen2ForCausalLM |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.52.4 |
| Tokenizer Class | Qwen2Tokenizer |
| Padding Token | <|endoftext|> |
| Vocabulary Size | 151936 |
| Torch Data Type | bfloat16 |
| Errors | replace |
Best Alternatives to Math SFT V4 4ksteps
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Qwen2 Sft Warmup | 128K / 0 GB | 6 | 0 |
| Qwen2 0.5Bchp 690K | 128K / 2 GB | 5 | 0 |
| Qwen2 0.5Bchp 570K | 128K / 2 GB | 5 | 0 |
| Qwen2 0.5Bchp 15K | 128K / 2 GB | 5 | 0 |
| Qwen2 0.5Bchp 300000 | 128K / 2 GB | 5 | 0 |
| Qwen2 0.5Bchp 20000 | 128K / 2 GB | 5 | 0 |
| Svig Tiny Step 3.7K | 128K / 2 GB | 5 | 0 |
| ...en2 Emotions Without Reasoning | 128K / 2 GB | 13 | 0 |
| Tinyqwen | 128K / 1 GB | 6 | 0 |
| Mxbai Rerank Base V2 | 32K / 1 GB | 72897 | 64 |
Note: green Score (e.g. "73.2") means that the model is better than GabrielMM/Math_SFT_v4_4ksteps .
Rank the Math SFT V4 4ksteps Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a