Text Generation
Transformers
Safetensors
llama
mergekit
Merge
conversational
text-generation-inference
Instructions to use pinkachu/Arbor-8B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pinkachu/Arbor-8B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="pinkachu/Arbor-8B") messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("pinkachu/Arbor-8B") model = AutoModelForCausalLM.from_pretrained("pinkachu/Arbor-8B", device_map="auto") 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=256) print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:])) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use pinkachu/Arbor-8B with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "pinkachu/Arbor-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": "pinkachu/Arbor-8B", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/pinkachu/Arbor-8B
- SGLang
How to use pinkachu/Arbor-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 "pinkachu/Arbor-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": "pinkachu/Arbor-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 "pinkachu/Arbor-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": "pinkachu/Arbor-8B", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Docker Model Runner
How to use pinkachu/Arbor-8B with Docker Model Runner:
docker model run hf.co/pinkachu/Arbor-8B
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Download README.md from pinkachu/Arbor-8B: direct link, hf CLI and curl.
- Browser
- Download file 1.64 kB
-
https://huggingface.co/pinkachu/Arbor-8B/resolve/main/README.md
- Command line
-
hf download hf://pinkachu/Arbor-8B/README.md
-
curl -L -o README.md https://huggingface.co/pinkachu/Arbor-8B/resolve/main/README.md
1.64 kB
| base_model: | |
| - akjindal53244/Llama-3.1-Storm-8B | |
| - ArliAI/Llama-3.1-8B-ArliAI-RPMax-v1.3 | |
| - DavidAU/L3.1-Dark-Reasoning-Unholy-Hermes-R1-Uncensored-8B | |
| - DavidAU/Llama-3.1-DeepSeek-8B-DarkIdol-Instruct-1.2-Uncensored | |
| - c4tdr0ut/grok-oss-Revenant-8B | |
| - ChiKoi7/Llama-3.1-8B-Lexi-Uncensored-V2-Heretic | |
| - mlabonne/Hermes-3-Llama-3.1-8B-lorablated | |
| - tohur/natsumura-storytelling-rp-1.0-llama-3.1-8b | |
| library_name: transformers | |
| tags: | |
| - mergekit | |
| - merge | |
| <img src="header.png" width="75%"> | |
| ## 🫎 Arbor-8B | |
| A [Karcher](https://arxiv.org/abs/2603.04972) merge of Llama 3.1 finetunes for roleplay and chat. Thanks to all the awesome creatives who made this model possible!! 🤎 | |
| Source models: | |
| * [akjindal53244/Llama-3.1-Storm-8B](https://huggingface.co/akjindal53244/Llama-3.1-Storm-8B) | |
| * [ArliAI/Llama-3.1-8B-ArliAI-RPMax-v1.3](https://huggingface.co/ArliAI/Llama-3.1-8B-ArliAI-RPMax-v1.3) | |
| * [c4tdr0ut/grok-oss-Revenant-8B](https://huggingface.co/c4tdr0ut/grok-oss-Revenant-8B) | |
| * [ChiKoi7/Llama-3.1-8B-Lexi-Uncensored-V2-Heretic](https://huggingface.co/ChiKoi7/Llama-3.1-8B-Lexi-Uncensored-V2-Heretic) | |
| * [DavidAU/L3.1-Dark-Reasoning-Unholy-Hermes-R1-Uncensored-8B](https://huggingface.co/DavidAU/L3.1-Dark-Reasoning-Unholy-Hermes-R1-Uncensored-8B) | |
| * [DavidAU/Llama-3.1-DeepSeek-8B-DarkIdol-Instruct-1.2-Uncensored](https://huggingface.co/DavidAU/Llama-3.1-DeepSeek-8B-DarkIdol-Instruct-1.2-Uncensored) | |
| * [mlabonne/Hermes-3-Llama-3.1-8B-lorablated](https://huggingface.co/mlabonne/Hermes-3-Llama-3.1-8B-lorablated) | |
| * [tohur/natsumura-storytelling-rp-1.0-llama-3.1-8b](https://huggingface.co/tohur/natsumura-storytelling-rp-1.0-llama-3.1-8b) | |