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gembode-2b-ultraalpaca-qlora
recogna-nlp/gembode-2b-ultraalpaca-qlora
gembode-2b-ultraalpaca-qlora is a machine learning model from recogna-nlp. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft.
The following bitsandbytes quantization config was used during training: - quantmethod: bitsandbytes - loadin8bit: False - loadin4bit: True - llmint8threshold: 6.0 - llmint8skipmodules: None - llmint8enablefp32cpuoffl…
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At a glance
- Library
- peft
- Access
- Public
- Created
- Apr 17, 2024
- Updated
- Apr 26, 2024
- SHA
- 040e2dcd
Model card
From the Hugging Face model README
Training procedure
The following bitsandbytes quantization config was used during training:
- quant_method: bitsandbytes
- _load_in_8bit: False
- _load_in_4bit: True
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weight: False
- bnb_4bit_quant_type: nf4
- bnb_4bit_use_double_quant: True
- bnb_4bit_compute_dtype: float16
- bnb_4bit_quant_storage: uint8
- load_in_4bit: True
- load_in_8bit: False
Framework versions
- PEFT 0.5.0
Open Portuguese LLM Leaderboard Evaluation Results
Detailed results can be found here and on the 🚀 Open Portuguese LLM Leaderboard
| Metric | Value |
|---|---|
| Average | 32.3 |
| ENEM Challenge (No Images) | 24.14 |
| BLUEX (No Images) | 20.31 |
| OAB Exams | 25.56 |
| Assin2 RTE | 69.75 |
| Assin2 STS | 4.16 |
| FaQuAD NLI | 52.63 |
| HateBR Binary | 33.33 |
| PT Hate Speech Binary | 41.65 |
| tweetSentBR | 19.15 |
- Library
- peft
- Created
- Apr 17, 2024
- Updated
- Apr 26, 2024