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RichardErkhov/
BEE-spoke-data_-_zephyr-220m-sft-full-gguf

Name: BEE-spoke-data_-_zephyr-220m-sft-full-gguf
Availability: InStock

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Quantization made by Richard Erkhov.

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zephyr-220m-sft-full - GGUF

Model creator: https://huggingface.co/BEE-spoke-data/
Original model: https://huggingface.co/BEE-spoke-data/zephyr-220m-sft-full/

Name	Quant method	Size
zephyr-220m-sft-full.Q2_K.gguf	Q2_K	0.09GB
zephyr-220m-sft-full.IQ3_XS.gguf	IQ3_XS	0.1GB
zephyr-220m-sft-full.IQ3_S.gguf	IQ3_S	0.1GB
zephyr-220m-sft-full.Q3_K_S.gguf	Q3_K_S	0.1GB
zephyr-220m-sft-full.IQ3_M.gguf	IQ3_M	0.1GB
zephyr-220m-sft-full.Q3_K.gguf	Q3_K	0.11GB
zephyr-220m-sft-full.Q3_K_M.gguf	Q3_K_M	0.11GB
zephyr-220m-sft-full.Q3_K_L.gguf	Q3_K_L	0.11GB
zephyr-220m-sft-full.IQ4_XS.gguf	IQ4_XS	0.12GB
zephyr-220m-sft-full.Q4_0.gguf	Q4_0	0.12GB
zephyr-220m-sft-full.IQ4_NL.gguf	IQ4_NL	0.12GB
zephyr-220m-sft-full.Q4_K_S.gguf	Q4_K_S	0.12GB
zephyr-220m-sft-full.Q4_K.gguf	Q4_K	0.13GB
zephyr-220m-sft-full.Q4_K_M.gguf	Q4_K_M	0.13GB
zephyr-220m-sft-full.Q4_1.gguf	Q4_1	0.13GB
zephyr-220m-sft-full.Q5_0.gguf	Q5_0	0.14GB
zephyr-220m-sft-full.Q5_K_S.gguf	Q5_K_S	0.14GB
zephyr-220m-sft-full.Q5_K.gguf	Q5_K	0.15GB
zephyr-220m-sft-full.Q5_K_M.gguf	Q5_K_M	0.15GB
zephyr-220m-sft-full.Q5_1.gguf	Q5_1	0.16GB
zephyr-220m-sft-full.Q6_K.gguf	Q6_K	0.17GB
zephyr-220m-sft-full.Q8_0.gguf	Q8_0	0.22GB

Original model description:

license: apache-2.0 base_model: BEE-spoke-data/smol_llama-220M-openhermes tags:

generated_from_trainer model-index:
name: zephyr-220m-sft-full results: [] datasets:
HuggingFaceH4/ultrachat_200k

zephyr-220m-sft-full

This model is a fine-tuned version of BEE-spoke-data/smol_llama-220M-openhermes on the Ultrachat_200k dataset. It achieves the following results on the evaluation set:

Loss: 1.6579

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: 2e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
distributed_type: multi-GPU
num_devices: 2
gradient_accumulation_steps: 4
total_train_batch_size: 128
total_eval_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss
1.6447	1.0	1624	1.6579

Framework versions

Transformers 4.37.0.dev0
Pytorch 2.1.2+cu121
Datasets 2.15.0
Tokenizers 0.15.0

https://wandb.ai/amazingvince/huggingface/runs/5rffzk3x/workspace?workspace=user-amazingvince

RichardErkhov/BEE-spoke-data_-_zephyr-220m-sft-full-gguf

Original model description:

zephyr-220m-sft-full

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

RichardErkhov/
BEE-spoke-data_-_zephyr-220m-sft-full-gguf