daisd-ai_-_anydef-orpo-gguf – AI Model by RichardErkhov | AlphaNeural AI

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anydef-orpo - GGUF

Model creator: https://huggingface.co/daisd-ai/
Original model: https://huggingface.co/daisd-ai/anydef-orpo/

Name	Quant method	Size
anydef-orpo.Q2_K.gguf	Q2_K	2.53GB
anydef-orpo.IQ3_XS.gguf	IQ3_XS	2.81GB
anydef-orpo.IQ3_S.gguf	IQ3_S	2.96GB
anydef-orpo.Q3_K_S.gguf	Q3_K_S	2.95GB
anydef-orpo.IQ3_M.gguf	IQ3_M	3.06GB
anydef-orpo.Q3_K.gguf	Q3_K	3.28GB
anydef-orpo.Q3_K_M.gguf	Q3_K_M	3.28GB
anydef-orpo.Q3_K_L.gguf	Q3_K_L	3.56GB
anydef-orpo.IQ4_XS.gguf	IQ4_XS	3.67GB
anydef-orpo.Q4_0.gguf	Q4_0	3.83GB
anydef-orpo.IQ4_NL.gguf	IQ4_NL	3.87GB
anydef-orpo.Q4_K_S.gguf	Q4_K_S	3.86GB
anydef-orpo.Q4_K.gguf	Q4_K	4.07GB
anydef-orpo.Q4_K_M.gguf	Q4_K_M	4.07GB
anydef-orpo.Q4_1.gguf	Q4_1	4.24GB
anydef-orpo.Q5_0.gguf	Q5_0	4.65GB
anydef-orpo.Q5_K_S.gguf	Q5_K_S	4.65GB
anydef-orpo.Q5_K.gguf	Q5_K	4.78GB
anydef-orpo.Q5_K_M.gguf	Q5_K_M	4.78GB
anydef-orpo.Q5_1.gguf	Q5_1	5.07GB
anydef-orpo.Q6_K.gguf	Q6_K	5.53GB
anydef-orpo.Q8_0.gguf	Q8_0	7.17GB

Original model description:

base_model: mistralai/Mistral-7B-v0.1 tags:

alignment-handbook
trl
orpo
generated_from_trainer
trl
orpo
generated_from_trainer
entity linking datasets:
daisd-ai/anydef-kilt-tasks model-index:
name: anydef-orpo results: [] license: apache-2.0 inference: false

anydef-orpo

This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on the daisd-ai/anydef-kilt-tasks dataset.

Find out about Model description, Intended uses & limitations and Training and evaluation data on our github.

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 5e-06
train_batch_size: 8
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 8
total_train_batch_size: 64
total_eval_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: inverse_sqrt
lr_scheduler_warmup_steps: 100
num_epochs: 3

Framework versions

Transformers 4.39.3
Pytorch 2.1.2+cu121
Datasets 2.18.0
Tokenizers 0.15.2