Instructions to use postbot/bloom-1b1-emailgen with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use postbot/bloom-1b1-emailgen with Transformers:

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

pipe = pipeline("text-generation", model="postbot/bloom-1b1-emailgen")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("postbot/bloom-1b1-emailgen")
model = AutoModelForCausalLM.from_pretrained("postbot/bloom-1b1-emailgen")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use postbot/bloom-1b1-emailgen with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "postbot/bloom-1b1-emailgen"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "postbot/bloom-1b1-emailgen",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/postbot/bloom-1b1-emailgen

SGLang

How to use postbot/bloom-1b1-emailgen 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 "postbot/bloom-1b1-emailgen" \
    --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": "postbot/bloom-1b1-emailgen",
		"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 "postbot/bloom-1b1-emailgen" \
        --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": "postbot/bloom-1b1-emailgen",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use postbot/bloom-1b1-emailgen with Docker Model Runner:
```
docker model run hf.co/postbot/bloom-1b1-emailgen
```
Browse Quantizations to use this model in llama.cpp, Ollama, LM Studio, or any compatible app.

bloom-1b1-emailgen - v1

This model is a fine-tuned version of bigscience/bloom-1b1 on the postbot/multi-emails-100k dataset.

It achieves the following results on the evaluation set:

Loss: 1.7397

Model description

More information needed

Intended uses & limitations

⚠️ this model did not have any of the original layers frozen during training ⚠️

while this is still an area of investigation, the model likely needs to have some layers frozen during fine-tuning to retain the multilingual capabilities in balance with learning how to write emails.

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 7e-05
train_batch_size: 2
eval_batch_size: 1
seed: 42
distributed_type: multi-GPU
gradient_accumulation_steps: 64
total_train_batch_size: 128
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.03
num_epochs: 2.0

Training results

Training Loss	Epoch	Step	Validation Loss
1.8465	1.0	256	1.8656
1.4903	2.0	512	1.7396

details

***** eval metrics *****  

  epoch                   =        2.0  
  eval_loss               =     1.7397
  eval_runtime            = 0:04:27.41
  eval_samples            =       4216
  eval_samples_per_second =     15.766
  eval_steps_per_second   =     15.766
  perplexity              =     5.6956

Framework versions

Transformers 4.25.0.dev0
Pytorch 1.13.0+cu117
Datasets 2.6.1
Tokenizers 0.13.1

Downloads last month: 22

Safetensors

Model size

1B params

Tensor type

BF16

Model tree for postbot/bloom-1b1-emailgen

Quantizations

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