Text Generation
Transformers
Safetensors
mistral
mergekit
Merge
conversational
text-generation-inference
Instructions to use Sorihon/Sketch-Bereaved-Harbinger-24B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sorihon/Sketch-Bereaved-Harbinger-24B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="Sorihon/Sketch-Bereaved-Harbinger-24B") messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("Sorihon/Sketch-Bereaved-Harbinger-24B") model = AutoModelForCausalLM.from_pretrained("Sorihon/Sketch-Bereaved-Harbinger-24B") 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]:])) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use Sorihon/Sketch-Bereaved-Harbinger-24B with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "Sorihon/Sketch-Bereaved-Harbinger-24B" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Sorihon/Sketch-Bereaved-Harbinger-24B", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/Sorihon/Sketch-Bereaved-Harbinger-24B
- SGLang
How to use Sorihon/Sketch-Bereaved-Harbinger-24B 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 "Sorihon/Sketch-Bereaved-Harbinger-24B" \ --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": "Sorihon/Sketch-Bereaved-Harbinger-24B", "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 "Sorihon/Sketch-Bereaved-Harbinger-24B" \ --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": "Sorihon/Sketch-Bereaved-Harbinger-24B", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Docker Model Runner
How to use Sorihon/Sketch-Bereaved-Harbinger-24B with Docker Model Runner:
docker model run hf.co/Sorihon/Sketch-Bereaved-Harbinger-24B
Sketch-Bereaved-Harbinger-24B
This is a merge of pre-trained language models created using mergekit.
Merge Details
Merge Method
This model was merged using the Karcher Mean merge method.
Models Merged
The following models were included in the merge:
- FlareRebellion/BereavedCompound-v1.0-24b
- Ateron/Sketch-Cydonia-24B-V1.2
- LatitudeGames/Harbinger-24B
Configuration
The following YAML configuration was used to produce this model:
merge_method: karcher
models:
- FlareRebellion/BereavedCompound-v1.0-24b
- Ateron/Sketch-Cydonia-24B-V1.2
- LatitudeGames/Harbinger-24B
tokenizer:
source: union
chat_template: auto
dtype: float32
out_dtype: bfloat16
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