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RichardErkhov/
mlfoundations-dev_-_hp_ablations_mistral_epoch1_dcftv1.2-gguf

Name: mlfoundations-dev_-_hp_ablations_mistral_epoch1_dcftv1.2-gguf
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hp_ablations_mistral_epoch1_dcftv1.2 - GGUF

Model creator: https://huggingface.co/mlfoundations-dev/
Original model: https://huggingface.co/mlfoundations-dev/hp_ablations_mistral_epoch1_dcftv1.2/

Name	Quant method	Size
hp_ablations_mistral_epoch1_dcftv1.2.Q2_K.gguf	Q2_K	2.53GB
hp_ablations_mistral_epoch1_dcftv1.2.IQ3_XS.gguf	IQ3_XS	2.81GB
hp_ablations_mistral_epoch1_dcftv1.2.IQ3_S.gguf	IQ3_S	2.96GB
hp_ablations_mistral_epoch1_dcftv1.2.Q3_K_S.gguf	Q3_K_S	2.95GB
hp_ablations_mistral_epoch1_dcftv1.2.IQ3_M.gguf	IQ3_M	3.06GB
hp_ablations_mistral_epoch1_dcftv1.2.Q3_K.gguf	Q3_K	3.28GB
hp_ablations_mistral_epoch1_dcftv1.2.Q3_K_M.gguf	Q3_K_M	3.28GB
hp_ablations_mistral_epoch1_dcftv1.2.Q3_K_L.gguf	Q3_K_L	3.56GB
hp_ablations_mistral_epoch1_dcftv1.2.IQ4_XS.gguf	IQ4_XS	3.67GB
hp_ablations_mistral_epoch1_dcftv1.2.Q4_0.gguf	Q4_0	3.83GB
hp_ablations_mistral_epoch1_dcftv1.2.IQ4_NL.gguf	IQ4_NL	3.87GB
hp_ablations_mistral_epoch1_dcftv1.2.Q4_K_S.gguf	Q4_K_S	3.86GB
hp_ablations_mistral_epoch1_dcftv1.2.Q4_K.gguf	Q4_K	4.07GB
hp_ablations_mistral_epoch1_dcftv1.2.Q4_K_M.gguf	Q4_K_M	4.07GB
hp_ablations_mistral_epoch1_dcftv1.2.Q4_1.gguf	Q4_1	4.24GB
hp_ablations_mistral_epoch1_dcftv1.2.Q5_0.gguf	Q5_0	4.65GB
hp_ablations_mistral_epoch1_dcftv1.2.Q5_K_S.gguf	Q5_K_S	4.65GB
hp_ablations_mistral_epoch1_dcftv1.2.Q5_K.gguf	Q5_K	4.78GB
hp_ablations_mistral_epoch1_dcftv1.2.Q5_K_M.gguf	Q5_K_M	4.78GB
hp_ablations_mistral_epoch1_dcftv1.2.Q5_1.gguf	Q5_1	5.07GB
hp_ablations_mistral_epoch1_dcftv1.2.Q6_K.gguf	Q6_K	5.53GB
hp_ablations_mistral_epoch1_dcftv1.2.Q8_0.gguf	Q8_0	7.17GB

Original model description:

library_name: transformers license: apache-2.0 base_model: mistralai/Mistral-7B-v0.1 tags:

llama-factory
full
generated_from_trainer model-index:
name: hp_ablations_mistral_epoch1_dcftv1.2 results: []

hp_ablations_mistral_epoch1_dcftv1.2

This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on the mlfoundations-dev/oh-dcft-v1.2_no-curation_gpt-4o-mini dataset. It achieves the following results on the evaluation set:

Loss: 0.0715

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

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
gradient_accumulation_steps: 8
total_train_batch_size: 512
total_eval_batch_size: 64
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: constant
lr_scheduler_warmup_ratio: 0.1
lr_scheduler_warmup_steps: 1738
num_epochs: 1.0

Training results

Training Loss	Epoch	Step	Validation Loss
0.5722	0.9976	369	0.0715

Framework versions

Transformers 4.46.1
Pytorch 2.3.0
Datasets 3.0.2
Tokenizers 0.20.3

RichardErkhov/mlfoundations-dev_-_hp_ablations_mistral_epoch1_dcftv1.2-gguf

Original model description:

hp_ablations_mistral_epoch1_dcftv1.2

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

RichardErkhov/
mlfoundations-dev_-_hp_ablations_mistral_epoch1_dcftv1.2-gguf