Instructions to use elinas/chronos007-70b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use elinas/chronos007-70b with Transformers:

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

pipe = pipeline("text-generation", model="elinas/chronos007-70b")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("elinas/chronos007-70b")
model = AutoModelForCausalLM.from_pretrained("elinas/chronos007-70b")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use elinas/chronos007-70b with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "elinas/chronos007-70b"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "elinas/chronos007-70b",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/elinas/chronos007-70b

SGLang

How to use elinas/chronos007-70b 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 "elinas/chronos007-70b" \
    --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": "elinas/chronos007-70b",
		"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 "elinas/chronos007-70b" \
        --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": "elinas/chronos007-70b",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use elinas/chronos007-70b with Docker Model Runner:
```
docker model run hf.co/elinas/chronos007-70b
```
Browse Quantizations to use this model in llama.cpp, Ollama, LM Studio, or any compatible app.

chronos007-70b fp16

This is a merge of Chronos-70b-v2 and model 007 at a ratio of 0.3 using the SLERP method, with Chronos being the parent model. This is an experimental model that has improved Chronos' logical and reasoning abilities while keeping the unique prose and general writing Chronos provides. This is an experiment for possible future Chronos models.

There are multiple different quantized versions that can be found below including GGUF, GPTQ, and AWQ thanks to @TheBloke

License

This model is strictly non-commercial (cc-by-nc-4.0) use only which takes priority over the LLAMA 2 COMMUNITY LICENSE AGREEMENT. If you'd like to discuss using it for your business, contact Elinas through Discord elinas, or X (Twitter) @officialelinas.

The "Model" is completely free (ie. base model, derivates, merges/mixes) to use for non-commercial purposes as long as the the included cc-by-nc-4.0 license in any parent repository, and the non-commercial use statute remains, regardless of other models' licences. At the moment, only 70b models released will be under this license and the terms may change at any time (ie. a more permissive license allowing commercial use).

Model Usage

This model uses Alpaca formatting, so for optimal model performance, use it to start the dialogue or story, and if you use a frontend like SillyTavern ENABLE Alpaca instruction mode:

### Instruction:
Your instruction or question here.

### Response:

Not using the format will make the model perform significantly worse than intended.

Other versions

GGUF version by @TheBloke

GPTQ version by @TheBloke

AWQ version by @TheBloke

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Safetensors

Model size

69B params

Tensor type

F32

BF16

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