# # Fast-Inference with Ctranslate2
Speedup inference while reducing memory by 2x-4x using int8 inference in C++ on CPU or GPU.

quantized version of [OpenAssistant/pythia-12b-sft-v8-7k-steps](https://huggingface.co/OpenAssistant/pythia-12b-sft-v8-7k-steps)
```bash
pip install hf-hub-ctranslate2>=2.0.6 
```
Converted on 2023-05-19 using
```
ct2-transformers-converter --model OpenAssistant/pythia-12b-sft-v8-7k-steps --output_dir /home/feil_m/tmp-ct2fast-pythia-12b-sft-v8-7k-steps --force --copy_files tokenizer.json README.md tokenizer_config.json generation_config.json special_tokens_map.json .gitattributes --quantization float16
```

Checkpoint compatible to [ctranslate2>=3.13.0](https://github.com/OpenNMT/CTranslate2) and [hf-hub-ctranslate2>=2.0.6](https://github.com/michaelfeil/hf-hub-ctranslate2)
- `compute_type=int8_float16` for `device="cuda"` 
- `compute_type=int8`  for `device="cpu"`

```python
from hf_hub_ctranslate2 import TranslatorCT2fromHfHub, GeneratorCT2fromHfHub
from transformers import AutoTokenizer

model_name = "michaelfeil/ct2fast-pythia-12b-sft-v8-7k-steps"
# use either TranslatorCT2fromHfHub or GeneratorCT2fromHfHub here, depending on model.
model = GeneratorCT2fromHfHub(
        # load in int8 on CUDA
        model_name_or_path=model_name, 
        device="cuda",
        compute_type="int8_float16",
        tokenizer=AutoTokenizer.from_pretrained("OpenAssistant/pythia-12b-sft-v8-7k-steps")
)
outputs = model.generate(
    text=["How do you call a fast Flan-ingo?", "User: How are you doing? Bot:"],
)
print(outputs)
```

# Licence and other remarks:
This is just a quantized version. Licence conditions are intended to be idential to original huggingface repo.

# Original description
    
- base model: [OpenAssistant/pythia-12b-pre-v8-12.5k-steps](https://huggingface.co/OpenAssistant/pythia-12b-pre-v8-12.5k-steps)
- wandb: https://wandb.ai/open-assistant/supervised-finetuning/runs/pcw1ejda
- [sampling report](https://raw.githubusercontent.com/Open-Assistant/oasst-model-eval/main/sampling_reports/oasst-sft/2023-05-07_OpenAssistant_pythia-12b-sft-v8-7k-steps_sampling_noprefix2.json)

```
pythia-12b-sft-8:
  dtype: fp16
  log_dir: "pythia_log_12b"
  learning_rate: 6e-6
  model_name: OpenAssistant/pythia-12b-pre-v8-12.5k-steps
  output_dir: pythia_model_12b
  weight_decay: 0.0
  residual_dropout: 0.0
  max_length: 2048
  use_flash_attention: true
  warmup_steps: 100
  gradient_checkpointing: true
  gradient_accumulation_steps: 2
  per_device_train_batch_size: 4
  per_device_eval_batch_size: 4
  eval_steps: 251
  save_steps: 500
  num_train_epochs: 8
  save_total_limit: 4
  num_train_epochs: 8
  save_total_limit: 3
  use_custom_sampler: true
  sort_by_length: false
  save_strategy: steps
  datasets:
    - oasst_export:
        lang: "bg,ca,cs,da,de,en,es,fr,hr,hu,it,nl,pl,pt,ro,ru,sl,sr,sv,uk"
        input_file_path: 2023-05-06_OASST_labels.jsonl.gz
        val_split: 0.05
    - vicuna:
        val_split: 0.05
        max_val_set: 800
        fraction: 0.4
    - dolly15k:
        val_split: 0.05
        max_val_set: 300
    - grade_school_math_instructions:
        val_split: 0.05
    - code_alpaca:
        val_split: 0.05
        max_val_set: 250
    - red_pajama:
        fraction: 0.05
        max_val_set: 1000
    - wizardlm_70k:
        val_split: 0.05
        max_val_set: 500
        fraction: 0.4
    - poem_instructions:
        fraction: 0.5
        val_split: 0.025
```

{"language": ["en"], "license": "apache-2.0", "tags": ["ctranslate2", "int8", "float16 - sft"], "pipeline_tag": "text-generation", "widget": [{"text": "<|prompter|>What is a meme, and what's the history behind this word?<|endoftext|><|assistant|>"}, {"text": "<|prompter|>What's the Earth total population<|endoftext|><|assistant|>"}, {"text": "<|prompter|>Write a story about future of AI development<|endoftext|><|assistant|>"}]}
transformers ctranslate2 int8 float16 - sft text-generation en license:apache-2.0 endpoints_compatible region:us
TAGS
#transformers #ctranslate2 #int8 #float16 - sft #text-generation #en #license-apache-2.0 #endpoints_compatible #region-us 

# # Fast-Inference with Ctranslate2
Speedup inference while reducing memory by 2x-4x using int8 inference in C++ on CPU or GPU.

quantized version of OpenAssistant/pythia-12b-sft-v8-7k-steps

Converted on 2023-05-19 using


Checkpoint compatible to ctranslate2>=3.13.0 and hf-hub-ctranslate2>=2.0.6
- 'compute_type=int8_float16' for 'device="cuda"' 
- 'compute_type=int8'  for 'device="cpu"'



# Licence and other remarks:
This is just a quantized version. Licence conditions are intended to be idential to original huggingface repo.

# Original description
    
- base model: OpenAssistant/pythia-12b-pre-v8-12.5k-steps
- wandb: URL
- sampling report



# # Fast-Inference with Ctranslate2
Speedup inference while reducing memory by 2x-4x using int8 inference in C++ on CPU or GPU.

quantized version of OpenAssistant/pythia-12b-sft-v8-7k-steps

Converted on 2023-05-19 using


Checkpoint compatible to ctranslate2>=3.13.0 and hf-hub-ctranslate2>=2.0.6
- 'compute_type=int8_float16' for 'device="cuda"' 
- 'compute_type=int8'  for 'device="cpu"' # Licence and other remarks:
This is just a quantized version. Licence conditions are intended to be idential to original huggingface repo. # Original description
    
- base model: OpenAssistant/pythia-12b-pre-v8-12.5k-steps
- wandb: URL
- sampling report
TAGS
#transformers #ctranslate2 #int8 #float16 - sft #text-generation #en #license-apache-2.0 #endpoints_compatible #region-us 
 # # Fast-Inference with Ctranslate2
Speedup inference while reducing memory by 2x-4x using int8 inference in C++ on CPU or GPU.

quantized version of OpenAssistant/pythia-12b-sft-v8-7k-steps

Converted on 2023-05-19 using


Checkpoint compatible to ctranslate2>=3.13.0 and hf-hub-ctranslate2>=2.0.6
- 'compute_type=int8_float16' for 'device="cuda"' 
- 'compute_type=int8'  for 'device="cpu"' # Licence and other remarks:
This is just a quantized version. Licence conditions are intended to be idential to original huggingface repo. # Original description
    
- base model: OpenAssistant/pythia-12b-pre-v8-12.5k-steps
- wandb: URL
- sampling report