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Amu_-_orpo-lora-phi2-gguf
RichardErkhov/Amu_-_orpo-lora-phi2-gguf
Amu_-_orpo-lora-phi2-gguf is a machine learning model from RichardErkhov. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
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.gguf37.4 GB · 100%
At a glance
- Access
- Public
- Created
- Oct 5, 2024
- Updated
- Oct 6, 2024
- SHA
- 33960dfd
Model card
From the Hugging Face model README
Quantization made by Richard Erkhov.
orpo-lora-phi2 - GGUF
- Model creator: https://huggingface.co/Amu/
- Original model: https://huggingface.co/Amu/orpo-lora-phi2/
| Name | Quant method | Size |
|---|---|---|
| orpo-lora-phi2.Q2_K.gguf | Q2_K | 1.03GB |
| orpo-lora-phi2.IQ3_XS.gguf | IQ3_XS | 1.12GB |
| orpo-lora-phi2.IQ3_S.gguf | IQ3_S | 1.16GB |
| orpo-lora-phi2.Q3_K_S.gguf | Q3_K_S | 1.16GB |
| orpo-lora-phi2.IQ3_M.gguf | IQ3_M | 1.23GB |
| orpo-lora-phi2.Q3_K.gguf | Q3_K | 1.33GB |
| orpo-lora-phi2.Q3_K_M.gguf | Q3_K_M | 1.33GB |
| orpo-lora-phi2.Q3_K_L.gguf | Q3_K_L | 1.47GB |
| orpo-lora-phi2.IQ4_XS.gguf | IQ4_XS | 1.43GB |
| orpo-lora-phi2.Q4_0.gguf | Q4_0 | 1.49GB |
| orpo-lora-phi2.IQ4_NL.gguf | IQ4_NL | 1.5GB |
| orpo-lora-phi2.Q4_K_S.gguf | Q4_K_S | 1.51GB |
| orpo-lora-phi2.Q4_K.gguf | Q4_K | 1.62GB |
| orpo-lora-phi2.Q4_K_M.gguf | Q4_K_M | 1.62GB |
| orpo-lora-phi2.Q4_1.gguf | Q4_1 | 1.65GB |
| orpo-lora-phi2.Q5_0.gguf | Q5_0 | 1.8GB |
| orpo-lora-phi2.Q5_K_S.gguf | Q5_K_S | 1.8GB |
| orpo-lora-phi2.Q5_K.gguf | Q5_K | 1.87GB |
| orpo-lora-phi2.Q5_K_M.gguf | Q5_K_M | 1.87GB |
| orpo-lora-phi2.Q5_1.gguf | Q5_1 | 1.95GB |
| orpo-lora-phi2.Q6_K.gguf | Q6_K | 2.13GB |
| orpo-lora-phi2.Q8_0.gguf | Q8_0 | 2.75GB |
Original model description:
language:
- en license: apache-2.0 tags:
- generated_from_trainer base_model: microsoft/phi-2 pipeline_tag: text-generation
outputs
This model is a fine-tuned version of microsoft/phi-2 using trl on ultrafeedback dataset.
What's new
A test for ORPO: Monolithic Preference Optimization without Reference Model method using trl library.
How to reproduce
accelerate launch --config_file=/path/to/trl/examples/accelerate_configs/deepspeed_zero2.yaml \
--num_processes 8 \
/path/to/trl/scripts/orpo.py \
--model_name_or_path="microsoft/phi-2" \
--per_device_train_batch_size 1 \
--max_steps 8000 \
--learning_rate 8e-5 \
--gradient_accumulation_steps 1 \
--logging_steps 20 \
--eval_steps 2000 \
--output_dir="orpo-lora-phi2" \
--optim rmsprop \
--warmup_steps 150 \
--bf16 \
--logging_first_step \
--no_remove_unused_columns \
--use_peft \
--lora_r=16 \
--lora_alpha=16 \
--dataset HuggingFaceH4/ultrafeedback_binarized
- Created
- Oct 5, 2024
- Updated
- Oct 6, 2024