Instructions to use anakin87/LFM2-2.6B-ttt-rl-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use anakin87/LFM2-2.6B-ttt-rl-2 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("anakin87/mr-ttt-snk5-merged") model = PeftModel.from_pretrained(base_model, "anakin87/LFM2-2.6B-ttt-rl-2") - Notebooks
- Google Colab
- Kaggle
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README.md
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@@ -42,10 +42,12 @@ This is a checkpoint from 🎓 **[LLM RL Environments Lil Course](https://github
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| **Model vs random opponent** | **% Wins** | **% Draws** | **% Losses** | **% Follows format** | **% Games w invalid moves** |
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| LiquidAI/LFM2-2.6B | 40 | 11 | 49 | 27.8 | 40 |
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| anakin87/LFM2-2.6B-ttt-rl | 86 | 12 | 2 | 100 | 1 |
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| **anakin87/LFM2-2.6B-ttt-rl-2** | **90** | **10** | **0** | **100** | **0** |
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| **Model vs optimal opponent** | **% Wins** | **% Draws** | **% Losses** | **% Follows format** | **% Games w invalid moves** |
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| LiquidAI/LFM2-2.6B | 0 | 11 | 89 | 24.7 | 43 |
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| anakin87/LFM2-2.6B-ttt-rl | 0 | 85 | 15 | 100 | 1 |
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| **anakin87/LFM2-2.6B-ttt-rl-2** | **0** | **97** | **3** | **99.8** | **0** |
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| **Model vs random opponent** | **% Wins** | **% Draws** | **% Losses** | **% Follows format** | **% Games w invalid moves** |
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| LiquidAI/LFM2-2.6B | 40 | 11 | 49 | 27.8 | 40 |
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| anakin87/LFM2-2.6B-ttt-sft | 74 | 13 | 13 | 99.8 | 11 |
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| anakin87/LFM2-2.6B-ttt-rl | 86 | 12 | 2 | 100 | 1 |
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| **anakin87/LFM2-2.6B-ttt-rl-2** | **90** | **10** | **0** | **100** | **0** |
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| **Model vs optimal opponent** | **% Wins** | **% Draws** | **% Losses** | **% Follows format** | **% Games w invalid moves** |
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| LiquidAI/LFM2-2.6B | 0 | 11 | 89 | 24.7 | 43 |
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| anakin87/LFM2-2.6B-ttt-sft | 0 | 52 | 48 | 99 | 14 |
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| anakin87/LFM2-2.6B-ttt-rl | 0 | 85 | 15 | 100 | 1 |
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| **anakin87/LFM2-2.6B-ttt-rl-2** | **0** | **97** | **3** | **99.8** | **0** |
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