Merged Model Autotrain compatible Base model:finetune:sakalti/sa... Base model:sakalti/saba1.5-pro Conversational Endpoints compatible Qwen2 Region:us Safetensors Sharded Tensorflow
Model Card on HF 🤗: https://huggingface.co/Sakalti/Saba1.5-Pro-3B
Saba1.5 Pro 3B Benchmarks
MMLU Pro: 10.65
GPQA: 2.46
MUSR: 14
BBH: 11.04
IFEval: 23.86 vs 88 (so35)-72.9%
MATH Lvl 5: 0.23
LLME Score: 0.3151
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)
Saba1.5 Pro 3B Parameters and Internals
| LLM Name | Saba1.5 Pro 3B |
| Repository 🤗 | https://huggingface.co/Sakalti/Saba1.5-Pro-3B |
| Base Model(s) | |
| Merged Model | Yes |
| Model Size | 3b |
| Required VRAM | 5.8 GB |
| Updated | 2024-12-21 |
| Maintainer | Sakalti |
| Model Type | qwen2 |
| Model Files | |
| Model Architecture | Qwen2ForCausalLM |
| License | apache-2.0 |
| Context Length | 131072 |
| Model Max Length | 131072 |
| Transformers Version | 4.46.2 |
| Tokenizer Class | Qwen2Tokenizer |
| Padding Token | <|vision_pad|> |
| Vocabulary Size | 151936 |
| Torch Data Type | bfloat16 |
| Errors | replace |
Best Alternatives to Saba1.5 Pro 3B
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Qwen2.5 3B Instruct | 32K / 6.2 GB | 210716 | 116 |
| Qwen2.5 3B | 32K / 6.2 GB | 101472 | 43 |
| Calme 3.3 Instruct 3B | 32K / 11 GB | 8828 | 2 |
| Qwen2.5 Coder 3B Instruct | 32K / 6.2 GB | 67764 | 22 |
| Calme 3.2 Instruct 3B | 32K / 11 GB | 2888 | 0 |
| Calme 3.1 Baguette 3B | 32K / 6.2 GB | 2824 | 1 |
| Calme 3.2 Baguette 3B | 32K / 11 GB | 2733 | 1 |
| Calme 3.1 Instruct 3B | 32K / 11 GB | 2896 | 2 |
| Lexora Lite 3B | 32K / 6.2 GB | 8917 | 0 |
| Arcee VyLinh | 32K / 13.6 GB | 28194 | 26 |
Note: green Score (e.g. "73.2") means that the model is better than Sakalti/Saba1.5-Pro-3B .
Rank the Saba1.5 Pro 3B Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241217