Text Generation
Transformers
Safetensors
HERMES
PyTorch
llama
causal-lm
instruct
chat
fine-tuned
merged-lora
llama-3
discord-dataset
conversational-ai
chatml
open-weights
8b-parameters
conversational
text-generation-inference
Instructions to use mookiezii/Discord-Hermes-3-8B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mookiezii/Discord-Hermes-3-8B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="mookiezii/Discord-Hermes-3-8B") messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("mookiezii/Discord-Hermes-3-8B") model = AutoModelForMultimodalLM.from_pretrained("mookiezii/Discord-Hermes-3-8B") messages = [ {"role": "user", "content": "Who are you?"}, ] inputs = tokenizer.apply_chat_template( messages, add_generation_prompt=True, tokenize=True, return_dict=True, return_tensors="pt", ).to(model.device) outputs = model.generate(**inputs, max_new_tokens=40) print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:])) - HERMES
How to use mookiezii/Discord-Hermes-3-8B with HERMES:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use mookiezii/Discord-Hermes-3-8B with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "mookiezii/Discord-Hermes-3-8B" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "mookiezii/Discord-Hermes-3-8B", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/mookiezii/Discord-Hermes-3-8B
- SGLang
How to use mookiezii/Discord-Hermes-3-8B 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 "mookiezii/Discord-Hermes-3-8B" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "mookiezii/Discord-Hermes-3-8B", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'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 "mookiezii/Discord-Hermes-3-8B" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "mookiezii/Discord-Hermes-3-8B", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Docker Model Runner
How to use mookiezii/Discord-Hermes-3-8B with Docker Model Runner:
docker model run hf.co/mookiezii/Discord-Hermes-3-8B
Discord-Hermes-3-8B
Model Description
This is a fine-tuned version of NousResearch/Hermes-3-Llama-3.1-8B, trained on a curated dataset built from a mixture of enhanced and original samples from mookiezi/Discord-Dialogues.
The training hyper-parameters and log are available here.
Sample Outputs
⚠️ Disclaimer: The first image is fictional dialogue.
It should not be interpreted as political advice, a statement of fact, or an endorsement of any kind.
Interfacing
An optimized Python script for interfacing is available here.
Windows
py interface.py
macOS
python3 interface.py
Linux
python3 interface.py
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