Arxiv:1910.09700 Autotrain compatible Conversational Endpoints compatible Qwen2 Region:us Safetensors Sharded Tensorflow
Model Card on HF 🤗: https://huggingface.co/tinycompany/Tamed-Sigma-hi
Tamed Sigma Hi 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)
Tamed Sigma Hi Parameters and Internals
| LLM Name | Tamed Sigma Hi |
| Repository 🤗 | https://huggingface.co/tinycompany/Tamed-Sigma-hi |
| Model Size | 3.1b |
| Required VRAM | 6.2 GB |
| Updated | 2025-03-13 |
| Maintainer | tinycompany |
| Model Type | qwen2 |
| Model Files | |
| Model Architecture | Qwen2ForCausalLM |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.49.0 |
| Tokenizer Class | PreTrainedTokenizer |
| Padding Token | <|endoftext|> |
| Vocabulary Size | 81920 |
| Torch Data Type | bfloat16 |
Best Alternatives to Tamed Sigma Hi
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Saba Passthrough 2 | 128K / 6.2 GB | 21 | 0 |
| TethysAI Vortex Reasoning | 32K / 6.2 GB | 55 | 0 |
| Tamed Sigma | 32K / 6.2 GB | 27 | 0 |
| Bbhqwen | 32K / 12.3 GB | 17 | 0 |
| Bbhqwen2 | 32K / 12.3 GB | 24 | 0 |
| Bbhqwen3 | 32K / 12.3 GB | 30 | 0 |
| Bbhqwen4 | 32K / 12.3 GB | 16 | 0 |
| Bbhqwen5 | 32K / 12.3 GB | 14 | 0 |
| Bbhqwen6 | 32K / 12.3 GB | 11 | 0 |
| Thynk | 32K / 6.2 GB | 45 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than tinycompany/Tamed-Sigma-hi .
Rank the Tamed Sigma Hi Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227