Model Card on HF 🤗: https://huggingface.co/OuteAI/OuteTTS-1.0-0.6B
OuteTTS 1.0 0.6B 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)
OuteTTS 1.0 0.6B Parameters and Internals
| LLM Name | OuteTTS 1.0 0.6B |
| Repository 🤗 | https://huggingface.co/OuteAI/OuteTTS-1.0-0.6B |
| Model Size | 0.6b |
| Required VRAM | 1.2 GB |
| Updated | 2025-06-09 |
| Maintainer | OuteAI |
| Model Type | qwen3 |
| Model Files | |
| Supported Languages | en zh nl fr ka de hu it ja ko lv pl ru es |
| Model Architecture | Qwen3ForCausalLM |
| License | apache-2.0 |
| Context Length | 40960 |
| Model Max Length | 40960 |
| Transformers Version | 4.51.3 |
| Tokenizer Class | Qwen2Tokenizer |
| Padding Token | <|end_of_text|> |
| Vocabulary Size | 157760 |
| Torch Data Type | bfloat16 |
| Errors | replace |
Best Alternatives to OuteTTS 1.0 0.6B
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Qwen3 Reranker 0.6B | 40K / 1.2 GB | 4859 | 77 |
| Qwen3 0.6B FP8 | 40K / 1.1 GB | 4834 | 45 |
| Qwen3 0.6B | 40K / 1.2 GB | 19493 | 7 |
| Qwen3 0.6B Bf16 | 40K / 1.2 GB | 1812 | 5 |
| Qwen3 0.6B Medical Expert | 40K / 1.2 GB | 620 | 3 |
| SFT DART | 40K / 1.2 GB | 42 | 0 |
| Qwen3 0.6B Abliterated | 40K / 1.2 GB | 483 | 6 |
| Smoothie Qwen3 0.6B | 40K / 1.2 GB | 644 | 1 |
| ...fied Qwen3 0.6B Abliterated V1 | 40K / 1.2 GB | 477 | 3 |
| Theta Crucis 0.6B Turbo1 | 40K / 1.2 GB | 29 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than OuteAI/OuteTTS-1.0-0.6B .
Rank the OuteTTS 1.0 0.6B Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124