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/Saba-Passthrough-2
Saba Passthrough 2 Benchmarks
MMLU Pro: 11.97
GPQA: 1.79
MUSR: 5.42
BBH: 11.95
IFEval: 16.91 vs 88 (so35)-80.8%
MATH Lvl 5: 0.08
LLME Score: 0.2518
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)
Saba Passthrough 2 Parameters and Internals
| LLM Name | Saba Passthrough 2 |
| Repository 🤗 | https://huggingface.co/Sakalti/Saba-Passthrough-2 |
| Base Model(s) | |
| Merged Model | Yes |
| Model Size | 3.1b |
| Required VRAM | 6.2 GB |
| Updated | 2025-03-24 |
| Maintainer | Sakalti |
| Model Type | qwen2 |
| Model Files | |
| Model Architecture | Qwen2ForCausalLM |
| License | apache-2.0 |
| Context Length | 131072 |
| Model Max Length | 131072 |
| Transformers Version | 4.46.3 |
| Tokenizer Class | Qwen2Tokenizer |
| Padding Token | <|vision_pad|> |
| Vocabulary Size | 151936 |
| Torch Data Type | bfloat16 |
| Errors | replace |
Best Alternatives to Saba Passthrough 2
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| OpenCognito R2 | 32K / 6.2 GB | 254 | 0 |
| TethysAI Vortex Reasoning | 32K / 6.2 GB | 57 | 1 |
| Bbhqwen | 32K / 12.3 GB | 19 | 0 |
| Bbhqwen2 | 32K / 12.3 GB | 26 | 0 |
| Tamed Sigma Hi | 32K / 6.2 GB | 46 | 0 |
| Bbhqwen3 | 32K / 12.3 GB | 33 | 0 |
| Bbhqwen4 | 32K / 12.3 GB | 18 | 0 |
| Bbhqwen5 | 32K / 12.3 GB | 17 | 0 |
| Tamed Sigma | 32K / 6.2 GB | 30 | 0 |
| Bbhqwen6 | 32K / 12.3 GB | 14 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than Sakalti/Saba-Passthrough-2 .
Rank the Saba Passthrough 2 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227