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shb777
AI & ML interests
LLM's , Speech 2 Speech and Synthetic Data
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2 days ago
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replied to
csabakecskemeti's
post
10 days ago
I've run the open llm leaderboard evaluations + hellaswag on https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Llama-8B and compared to https://huggingface.co/meta-llama/Llama-3.1-8B-Instruct and at first glance R1 do not beat Llama overall.
If anyone wants to double check the results are posted here:
https://github.com/csabakecskemeti/lm_eval_results
Am I made some mistake, or (at least this distilled version) not as good/better than the competition?
I'll run the same on the Qwen 7B distilled version too.
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updated
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2 days ago
reacted to
hexgrad's
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6 days ago
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hexgrad/Kokoro-82M got an upgrade! ⬆️ More voices, more languages,
GitHub: https://github.com/hexgrad/kokoro
PyPI: https://pypi.org/project/kokoro/
Space: hexgrad/Kokoro-TTS
pip install kokoro, and still 82M parameters.GitHub: https://github.com/hexgrad/kokoro
PyPI: https://pypi.org/project/kokoro/
Space: hexgrad/Kokoro-TTS
- 11 replies
replied to
csabakecskemeti's
post
10 days ago
It looks like your config set temperature to 0 , it should be 0.6 according to Usage Recommendations
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Train 400x faster Static Embedding Models with Sentence Transformers
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[bot] Conversion to Parquet
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