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Model: migtissera/Tess-M-v1.3
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---
license: other
license_name: yi-34b
license_link: https://huggingface.co/01-ai/Yi-34B/blob/main/LICENSE
---
# Note:
This version is the stable release. The issues that were present in versions 1.0, 1.1 and 1.2 all have been rectified. Thank you for your patience while R&D was conducted. Enjoy!
This model have been tested on very long context length. Model produced slight repetition, but it was very minor. I recommend testing the model to your usecase and limiting the context length. Here's my conversation: https://migel.substack.com/p/testing-tess-m-v13
As can be seen, "USER:" and "SYSTEM: Answer the question thoughtfully and intelligently. Always answer without hesitation." was presented by the model in the latter part of the conversation.
# Learnings:
Here's my learnings going from Tess-v1.0 to Tess-v1.3: https://migel.substack.com/p/learnings-from-training-tess
# Tess
![Tess](https://huggingface.co/migtissera/Tess-M-v1.0/resolve/main/Tess.png)
Tess, short for Tesoro (Treasure in Italian), is a general purpose Large Language Model series. Tess-M-v1.3 was trained on the Yi-34B-200K base.
# Prompt Format:
```
SYSTEM: <ANY SYSTEM CONTEXT>
USER:
ASSISTANT:
```

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},
"64001": {
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}
},
"bos_token": "<s>",
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"eos_token": "</s>",
"legacy": false,
"model_max_length": 200000,
"pad_token": "<unk>",
"padding_side": "right",
"sp_model_kwargs": {},
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"tokenizer_class": "LlamaTokenizer",
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"unk_token": "<unk>",
"use_default_system_prompt": false
}