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models(gallery): add tess-r1-limerick-llama-3.1-70b (#4095)

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Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
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gallery/index.yaml
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@ -2120,6 +2120,37 @@
- filename: Llama-3.1-WhiteRabbitNeo-2-8B-Q4_K_M.gguf
sha256: dbaf619312e706c5440214d324d8f304717866675fc9728e3901c75ef5bbfeca
uri: huggingface://bartowski/Llama-3.1-WhiteRabbitNeo-2-8B-GGUF/Llama-3.1-WhiteRabbitNeo-2-8B-Q4_K_M.gguf
- !!merge <<: *llama31
name: "tess-r1-limerick-llama-3.1-70b"
icon: https://huggingface.co/migtissera/Tess-R1-Llama-3.1-70B/resolve/main/Tess-R1-2.jpg
urls:
- https://huggingface.co/migtissera/Tess-R1-Limerick-Llama-3.1-70B
- https://huggingface.co/bartowski/Tess-R1-Limerick-Llama-3.1-70B-GGUF
description: |
Welcome to the Tess-Reasoning-1 (Tess-R1) series of models. Tess-R1 is designed with test-time compute in mind, and has the capabilities to produce a Chain-of-Thought (CoT) reasoning before producing the final output.
The model is trained to first think step-by-step, and contemplate on its answers. It can also write alternatives after contemplating. Once all the steps have been thought through, it writes the final output.
Step-by-step, Chain-of-Thought thinking process. Uses <thinking> </thinking> tags to indicate when the model is performing CoT.
<contemplation> </contemplation> tags are used when the model contemplate on its answers.
<alternatively> </alternatively> tags are used for alternate suggestions.
Finally, <output> </output> tags are used for the final output
Important Note:
In a multi-turn conversation, only the contents between the <output> </output> tags (discarding the tags) should be carried forward. Otherwise the model will see out of distribution input data and will fail.
The model was trained mostly with Chain-of-Thought reasoning data, including the XML tags. However, to generalize model generations, some single-turn and multi-turn data without XML tags were also included. Due to this, in some instances the model does not produce XML tags and does not fully utilize test-time compute capabilities. There is two ways to get around this:
Include a try/catch statement in your inference script, and only pass on the contents between the <output> </output> tags if it's available.
Use the <thinking> tag as the seed in the generation, and force the model to produce outputs with XML tags. i.e: f"{conversation}{user_input}<|eot_id|><|start_header_id|>assistant<|end_header_id|>\n\n<thinking>"
overrides:
parameters:
model: Tess-R1-Limerick-Llama-3.1-70B-Q4_K_M.gguf
files:
- filename: Tess-R1-Limerick-Llama-3.1-70B-Q4_K_M.gguf
sha256: 92da5dad8a36ed5060becf78a83537d776079b7eaa4de73733d3ca57156286ab
uri: huggingface://bartowski/Tess-R1-Limerick-Llama-3.1-70B-GGUF/Tess-R1-Limerick-Llama-3.1-70B-Q4_K_M.gguf
- &deepseek
## Deepseek
url: "github:mudler/LocalAI/gallery/deepseek.yaml@master"