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Magpie-Align_-_MagpieLM-4B-SFT-v0.1-gguf
RichardErkhov/Magpie-Align_-_MagpieLM-4B-SFT-v0.1-gguf
Magpie-Align_-_MagpieLM-4B-SFT-v0.1-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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At a glance
- Access
- Public
- Created
- Oct 1, 2024
- Updated
- Oct 1, 2024
- SHA
- 4b5e5698
Model card
From the Hugging Face model README
Quantization made by Richard Erkhov.
MagpieLM-4B-SFT-v0.1 - GGUF
- Model creator: https://huggingface.co/Magpie-Align/
- Original model: https://huggingface.co/Magpie-Align/MagpieLM-4B-SFT-v0.1/
| Name | Quant method | Size |
|---|---|---|
| MagpieLM-4B-SFT-v0.1.Q2_K.gguf | Q2_K | 1.71GB |
| MagpieLM-4B-SFT-v0.1.IQ3_XS.gguf | IQ3_XS | 1.89GB |
| MagpieLM-4B-SFT-v0.1.IQ3_S.gguf | IQ3_S | 1.97GB |
| MagpieLM-4B-SFT-v0.1.Q3_K_S.gguf | Q3_K_S | 1.96GB |
| MagpieLM-4B-SFT-v0.1.IQ3_M.gguf | IQ3_M | 2.03GB |
| MagpieLM-4B-SFT-v0.1.Q3_K.gguf | Q3_K | 2.14GB |
| MagpieLM-4B-SFT-v0.1.Q3_K_M.gguf | Q3_K_M | 2.14GB |
| MagpieLM-4B-SFT-v0.1.Q3_K_L.gguf | Q3_K_L | 2.3GB |
| MagpieLM-4B-SFT-v0.1.IQ4_XS.gguf | IQ4_XS | 2.38GB |
| MagpieLM-4B-SFT-v0.1.Q4_0.gguf | Q4_0 | 2.47GB |
| MagpieLM-4B-SFT-v0.1.IQ4_NL.gguf | IQ4_NL | 2.49GB |
| MagpieLM-4B-SFT-v0.1.Q4_K_S.gguf | Q4_K_S | 2.48GB |
| MagpieLM-4B-SFT-v0.1.Q4_K.gguf | Q4_K | 2.59GB |
| MagpieLM-4B-SFT-v0.1.Q4_K_M.gguf | Q4_K_M | 2.59GB |
| MagpieLM-4B-SFT-v0.1.Q4_1.gguf | Q4_1 | 2.71GB |
| MagpieLM-4B-SFT-v0.1.Q5_0.gguf | Q5_0 | 2.95GB |
| MagpieLM-4B-SFT-v0.1.Q5_K_S.gguf | Q5_K_S | 2.95GB |
| MagpieLM-4B-SFT-v0.1.Q5_K.gguf | Q5_K | 3.01GB |
| MagpieLM-4B-SFT-v0.1.Q5_K_M.gguf | Q5_K_M | 3.01GB |
| MagpieLM-4B-SFT-v0.1.Q5_1.gguf | Q5_1 | 3.19GB |
| MagpieLM-4B-SFT-v0.1.Q6_K.gguf | Q6_K | 3.46GB |
| MagpieLM-4B-SFT-v0.1.Q8_0.gguf | Q8_0 | 4.47GB |
Original model description:
library_name: transformers base_model: nvidia/Llama-3.1-Minitron-4B-Width-Base tags:
- axolotl
- generated_from_trainer model-index:
- name: MagpieLM-4B-SFT-v0.1 results: [] datasets:
- Magpie-Align/MagpieLM-SFT-Data-v0.1 language:
- en
🐦 MagpieLM-4B-SFT-v0.1
Project Web: https://magpie-align.github.io/
Arxiv Technical Report: https://arxiv.org/abs/2406.08464
Codes: https://github.com/magpie-align/magpie
About This Model
Model full name: Llama3.1-MagpieLM-4B-SFT-v0.1
This model is a fine-tuned version of nvidia/Llama-3.1-Minitron-4B-Width-Base on Magpie-Align/MagpieLM-SFT-Data-v0.1 dataset.
This is the intermediate checkpoint for fine-tuning Magpie-Align/MagpieLM-4B-Chat-v0.1.
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 32
- total_train_batch_size: 128
- total_eval_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 51
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.1026 | 0.0038 | 1 | 1.1547 |
| 0.6994 | 0.2015 | 53 | 0.7142 |
| 0.6181 | 0.4030 | 106 | 0.6375 |
| 0.5967 | 0.6045 | 159 | 0.6134 |
| 0.5793 | 0.8060 | 212 | 0.6004 |
| 0.5736 | 1.0075 | 265 | 0.5914 |
| 0.5411 | 1.1938 | 318 | 0.5883 |
| 0.5402 | 1.3953 | 371 | 0.5864 |
| 0.5423 | 1.5968 | 424 | 0.5856 |
| 0.5408 | 1.7983 | 477 | 0.5854 |
Framework versions
- Transformers 4.45.0.dev0
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
axolotl version: 0.4.1
base_model: nvidia/Llama-3.1-Minitron-4B-Width-Base
model_type: AutoModelForCausalLM
tokenizer_type: AutoTokenizer
chat_template: llama3
load_in_8bit: false
load_in_4bit: false
strict: false
datasets:
- path: Magpie-Align/MagpieLM-SFT-Data-v0.1
type: sharegpt
conversation: llama3
dataset_prepared_path: last_run_prepared
val_set_size: 0.001
output_dir: axolotl_out/MagpieLM-4B-SFT-v0.1
sequence_len: 8192
sample_packing: true
eval_sample_packing: false
pad_to_sequence_len: true
wandb_project: SynDa
wandb_entity:
wandb_watch:
wandb_name: Llama3.1-MagpieLM-4B-SFT-v0.1
wandb_log_model:
hub_model_id: Magpie-Align/MagpieLM-4B-SFT-v0.1
gradient_accumulation_steps: 32
micro_batch_size: 1
num_epochs: 2
optimizer: paged_adamw_8bit
lr_scheduler: cosine
learning_rate: 2e-5
train_on_inputs: false
group_by_length: false
bf16: true
fp16:
tf32: false
gradient_checkpointing: true
gradient_checkpointing_kwargs:
use_reentrant: false
early_stopping_patience:
resume_from_checkpoint:
logging_steps: 1
xformers_attention:
flash_attention: true
warmup_ratio: 0.1
evals_per_epoch: 5
eval_table_size:
saves_per_epoch: 1
debug:
deepspeed:
weight_decay: 0.0
fsdp:
fsdp_config:
special_tokens:
pad_token: <|end_of_text|>
- Created
- Oct 1, 2024
- Updated
- Oct 1, 2024