MN-12b-Lyra-v3-4bpw

Sao blesses us with another Lyra MN finetune. V2 is my daily driver currently so I'm aching to get this. <br> This is the 4bpw EXL2 Quant of this model. You can find the original model here. <br> For the 8bpw version, go here <br> For the 6bpw version, go here <br>

Ungated. Thanks for the patience!

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Mistral-NeMo-12B-Lyra-v3, built on top of Lyra-v2a2, which itself was built upon Lyra-v2a1.

Model Versioning

Lyra-v1 [Merge of Custom Roleplay & Instruct Trains, on Different Formats]
  |
  | [Additional SFT on 10% of Previous Data, Mixed]
  v
Lyra-v2a1 
  |
  | [Low Rank SFT Step + Tokenizer Diddling]
  v
Lyra-v2a2
  |
  | [RL Step Performed on Multiturn Sets, Magpie-style Responses by Lyra-v2a2 for Rejected Data]
  v
Lyra-v3

This uses a custom ChatML-style prompting Format!

-> What can go wrong?

[INST]system
This is the system prompt.[/INST]
[INST]user
Instructions placed here.[/INST]
[INST]assistant
The model's response will be here.[/INST]

Why this? I had used the wrong configs by accident. The format was meant for an 8B pruned NeMo train, instead it went to this. Oops.

Recommended Samplers:

Temperature: 0.7 - 1.2
min_p: 0.1 - 0.2 # Crucial for NeMo

Recommended Stopping Strings:

<|im_end|>
</s>

Blame messed up Training Configs, oops?

Training Metrics:

- Trained on 4xH100 SXM for 6 Hours. <br>- Trained for 2 Epochs. <br>- Effective Global Batch Size: 128. <br>- Dataset Used: A custom, cleaned mix of Stheno-v3.4's Dataset, focused mainly on multiturn.

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Extras

Image Source: AI-Generated with FLUX.1 Dev.

have a nice day.