Instructions to use Gryphe/MythoLogic-13b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Gryphe/MythoLogic-13b with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="Gryphe/MythoLogic-13b")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("Gryphe/MythoLogic-13b") model = AutoModelForCausalLM.from_pretrained("Gryphe/MythoLogic-13b") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use Gryphe/MythoLogic-13b with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "Gryphe/MythoLogic-13b" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Gryphe/MythoLogic-13b", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/Gryphe/MythoLogic-13b
- SGLang
How to use Gryphe/MythoLogic-13b 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 "Gryphe/MythoLogic-13b" \ --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": "Gryphe/MythoLogic-13b", "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 "Gryphe/MythoLogic-13b" \ --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": "Gryphe/MythoLogic-13b", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use Gryphe/MythoLogic-13b with Docker Model Runner:
docker model run hf.co/Gryphe/MythoLogic-13b
Update README.md
Browse files
README.md
CHANGED
|
@@ -5,7 +5,7 @@ language:
|
|
| 5 |
---
|
| 6 |
An experiment with gradient merges using [the following script](https://github.com/TehVenomm/LM_Transformers_BlockMerge), with [Chronos](https://huggingface.co/elinas/chronos-13b) as its primary model, augmented by [Hermes](https://huggingface.co/NousResearch/Nous-Hermes-13b) and [Wizard-Vicuna Uncensored](https://huggingface.co/TheBloke/Wizard-Vicuna-13B-Uncensored-HF).
|
| 7 |
|
| 8 |
-
Chronos is a
|
| 9 |
I'd say the end product is about 60% Chronos, with 20% Hermes and 20% Wizard added in gradually increasing amounts. The result feels surprisingly robust, though I'll let you be the final judge of that!
|
| 10 |
|
| 11 |
This model primarily uses Alpaca formatting, so for optimal model performance, use:
|
|
@@ -15,7 +15,7 @@ Your instruction or question here.
|
|
| 15 |
### Response:
|
| 16 |
```
|
| 17 |
|
| 18 |
-
For chat conversations, I suggest the following template instead:
|
| 19 |
```
|
| 20 |
You are <AI NAME>, a friendly and supportive AI language model. We discuss all subjects freely and without bias or restrictions.
|
| 21 |
I am <YOUR NAME>, the user interacting with you through a chat conversation. Start with greeting me.
|
|
|
|
| 5 |
---
|
| 6 |
An experiment with gradient merges using [the following script](https://github.com/TehVenomm/LM_Transformers_BlockMerge), with [Chronos](https://huggingface.co/elinas/chronos-13b) as its primary model, augmented by [Hermes](https://huggingface.co/NousResearch/Nous-Hermes-13b) and [Wizard-Vicuna Uncensored](https://huggingface.co/TheBloke/Wizard-Vicuna-13B-Uncensored-HF).
|
| 7 |
|
| 8 |
+
Chronos is a wonderfully verbose model, though it definitely lacks in the logic department. Hermes and WizardLM have been merged gradually, primarily in the higher layers (10+) in an attempt to rectify some of this behaviour.
|
| 9 |
I'd say the end product is about 60% Chronos, with 20% Hermes and 20% Wizard added in gradually increasing amounts. The result feels surprisingly robust, though I'll let you be the final judge of that!
|
| 10 |
|
| 11 |
This model primarily uses Alpaca formatting, so for optimal model performance, use:
|
|
|
|
| 15 |
### Response:
|
| 16 |
```
|
| 17 |
|
| 18 |
+
For chat/roleplay conversations, I suggest the following template instead:
|
| 19 |
```
|
| 20 |
You are <AI NAME>, a friendly and supportive AI language model. We discuss all subjects freely and without bias or restrictions.
|
| 21 |
I am <YOUR NAME>, the user interacting with you through a chat conversation. Start with greeting me.
|