---
language:
- en
license: cc-by-nc-4.0
model-index:
- name: MN-12B-Lyra-v3
  results:
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: IFEval (0-Shot)
      type: HuggingFaceH4/ifeval
      args:
        num_few_shot: 0
    metrics:
    - type: inst_level_strict_acc and prompt_level_strict_acc
      value: 44.86
      name: strict accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Sao10K/MN-12B-Lyra-v3
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: BBH (3-Shot)
      type: BBH
      args:
        num_few_shot: 3
    metrics:
    - type: acc_norm
      value: 25.87
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Sao10K/MN-12B-Lyra-v3
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: MATH Lvl 5 (4-Shot)
      type: hendrycks/competition_math
      args:
        num_few_shot: 4
    metrics:
    - type: exact_match
      value: 7.18
      name: exact match
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Sao10K/MN-12B-Lyra-v3
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: GPQA (0-shot)
      type: Idavidrein/gpqa
      args:
        num_few_shot: 0
    metrics:
    - type: acc_norm
      value: 3.69
      name: acc_norm
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Sao10K/MN-12B-Lyra-v3
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: MuSR (0-shot)
      type: TAUR-Lab/MuSR
      args:
        num_few_shot: 0
    metrics:
    - type: acc_norm
      value: 9.04
      name: acc_norm
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Sao10K/MN-12B-Lyra-v3
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: MMLU-PRO (5-shot)
      type: TIGER-Lab/MMLU-Pro
      config: main
      split: test
      args:
        num_few_shot: 5
    metrics:
    - type: acc
      value: 24.99
      name: accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Sao10K/MN-12B-Lyra-v3
      name: Open LLM Leaderboard
---

![Lyra](https://huggingface.co/Sao10K/MN-12B-Lyra-v3/resolve/main/Lyra.png)




### Ungated. Thanks for the patience!


---


Mistral-NeMo-12B-Lyra-v3, built on top of [Lyra-v2a2](https://huggingface.co/Sao10K/MN-12B-Lyra-v2a2), which itself was built upon [Lyra-v2a1](https://huggingface.co/Sao10K/MN-12B-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.

---

# Extras

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

have a nice day.
# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard)
Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_Sao10K__MN-12B-Lyra-v3)

|      Metric       |Value|
|-------------------|----:|
|Avg.               |19.27|
|IFEval (0-Shot)    |44.86|
|BBH (3-Shot)       |25.87|
|MATH Lvl 5 (4-Shot)| 7.18|
|GPQA (0-shot)      | 3.69|
|MuSR (0-shot)      | 9.04|
|MMLU-PRO (5-shot)  |24.99|