Instructions to use pszemraj/griffin-v0.01-c3t-8layer-simplewiki with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use pszemraj/griffin-v0.01-c3t-8layer-simplewiki with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-generation", model="pszemraj/griffin-v0.01-c3t-8layer-simplewiki")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("pszemraj/griffin-v0.01-c3t-8layer-simplewiki")
model = AutoModelForCausalLM.from_pretrained("pszemraj/griffin-v0.01-c3t-8layer-simplewiki")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use pszemraj/griffin-v0.01-c3t-8layer-simplewiki with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "pszemraj/griffin-v0.01-c3t-8layer-simplewiki"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "pszemraj/griffin-v0.01-c3t-8layer-simplewiki",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/pszemraj/griffin-v0.01-c3t-8layer-simplewiki

SGLang

How to use pszemraj/griffin-v0.01-c3t-8layer-simplewiki with SGLang:

Install from pip and serve model

# Install SGLang from pip:
pip install sglang
# Start the SGLang server:
python3 -m sglang.launch_server \
    --model-path "pszemraj/griffin-v0.01-c3t-8layer-simplewiki" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "pszemraj/griffin-v0.01-c3t-8layer-simplewiki",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker images

docker run --gpus all \
    --shm-size 32g \
    -p 30000:30000 \
    -v ~/.cache/huggingface:/root/.cache/huggingface \
    --env "HF_TOKEN=<secret>" \
    --ipc=host \
    lmsysorg/sglang:latest \
    python3 -m sglang.launch_server \
        --model-path "pszemraj/griffin-v0.01-c3t-8layer-simplewiki" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "pszemraj/griffin-v0.01-c3t-8layer-simplewiki",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use pszemraj/griffin-v0.01-c3t-8layer-simplewiki with Docker Model Runner:
```
docker model run hf.co/pszemraj/griffin-v0.01-c3t-8layer-simplewiki
```

pszemraj/griffin-v0.01-c3t-8layer-simplewiki

griffin/recurrent_gemma arch
claude3 tokenizer (as an HF gpt2 tokenizer)

Model description

This model is a fine-tuned version of ./griffin-1024-c3t-8layer on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 4.1928
Accuracy: 0.4084

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: 0.0003
train_batch_size: 4
eval_batch_size: 4
seed: 80085
gradient_accumulation_steps: 32
total_train_batch_size: 128
optimizer: Adam with betas=(0.9,0.99) and epsilon=1e-07
lr_scheduler_type: constant_with_warmup
lr_scheduler_warmup_ratio: 0.05
num_epochs: 2.0

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
13.2525	0.2548	100	11.9768	0.0131
8.8873	0.5095	200	8.0127	0.0357
7.2457	0.7643	300	6.4508	0.0512
6.3152	1.0190	400	5.6163	0.0460
5.5586	1.2738	500	4.7645	0.3650
5.2936	1.5285	600	4.3919	0.3934
4.8839	1.7833	700	4.1928	0.4084

Framework versions

Transformers 4.40.1
Pytorch 2.2.0+cu121
Datasets 2.19.0
Tokenizers 0.19.1

Downloads last month: 2

Safetensors

Model size

0.2B params

Tensor type

F32

pszemraj
/

griffin-v0.01-c3t-8layer-simplewiki