Files
ModelHub XC e73f2f8917 初始化项目,由ModelHub XC社区提供模型
Model: afrideva/zephyr-220m-sft-full-GGUF
Source: Original Platform
2026-04-22 00:24:24 +08:00

3.2 KiB

base_model, datasets, inference, license, model-index, model_creator, model_name, pipeline_tag, quantized_by, tags
base_model datasets inference license model-index model_creator model_name pipeline_tag quantized_by tags
BEE-spoke-data/zephyr-220m-sft-full
HuggingFaceH4/ultrachat_200k
false apache-2.0
name results
zephyr-220m-sft-full
BEE-spoke-data zephyr-220m-sft-full text-generation afrideva
generated_from_trainer
gguf
ggml
quantized
q2_k
q3_k_m
q4_k_m
q5_k_m
q6_k
q8_0

BEE-spoke-data/zephyr-220m-sft-full-GGUF

Quantized GGUF model files for zephyr-220m-sft-full from BEE-spoke-data

Name Quant method Size
zephyr-220m-sft-full.fp16.gguf fp16 436.50 MB
zephyr-220m-sft-full.q2_k.gguf q2_k 94.43 MB
zephyr-220m-sft-full.q3_k_m.gguf q3_k_m 114.65 MB
zephyr-220m-sft-full.q4_k_m.gguf q4_k_m 137.58 MB
zephyr-220m-sft-full.q5_k_m.gguf q5_k_m 157.91 MB
zephyr-220m-sft-full.q6_k.gguf q6_k 179.52 MB
zephyr-220m-sft-full.q8_0.gguf q8_0 232.28 MB

Original Model Card:

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