Text Generation
Transformers
Safetensors
llama
mergekit
Merge
conversational
text-generation-inference
Instructions to use NovaCorp/Podredumbre-3.2-1B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NovaCorp/Podredumbre-3.2-1B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="NovaCorp/Podredumbre-3.2-1B") messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("NovaCorp/Podredumbre-3.2-1B") model = AutoModelForCausalLM.from_pretrained("NovaCorp/Podredumbre-3.2-1B") 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
- vLLM
How to use NovaCorp/Podredumbre-3.2-1B with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "NovaCorp/Podredumbre-3.2-1B" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "NovaCorp/Podredumbre-3.2-1B", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/NovaCorp/Podredumbre-3.2-1B
- SGLang
How to use NovaCorp/Podredumbre-3.2-1B 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 "NovaCorp/Podredumbre-3.2-1B" \ --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": "NovaCorp/Podredumbre-3.2-1B", "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 "NovaCorp/Podredumbre-3.2-1B" \ --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": "NovaCorp/Podredumbre-3.2-1B", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Docker Model Runner
How to use NovaCorp/Podredumbre-3.2-1B with Docker Model Runner:
docker model run hf.co/NovaCorp/Podredumbre-3.2-1B
Albert_Wesker-1B — Nacimiento UMBRELLA-4 con 6 secretos
Browse files- README.md +8 -9
- mergekit_config.yml +4 -5
- model-00001-of-00003.safetensors +1 -1
- model-00002-of-00003.safetensors +1 -1
- model-00003-of-00003.safetensors +1 -1
README.md
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---
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base_model:
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library_name: transformers
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tags:
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- mergekit
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### Models Merged
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The following models were included in the merge:
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### Configuration
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# Human-class B.O.W. (Infected Host)
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# =========================
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base_model:
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merge_method: slerp
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dtype: bfloat16
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# - Behavioral instability introduced
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models:
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weight: 0.55
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```
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---
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base_model:
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library_name: transformers
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tags:
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- mergekit
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### Models Merged
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The following models were included in the merge:
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* [nbeerbower/HumanLlama-3.2-1B](https://huggingface.co/nbeerbower/HumanLlama-3.2-1B)
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* [juiceb0xc0de/bella-bartender-heretic-1b](https://huggingface.co/juiceb0xc0de/bella-bartender-heretic-1b)
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### Configuration
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# Human-class B.O.W. (Infected Host)
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# =========================
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base_model: juiceb0xc0de/bella-bartender-heretic-1b
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merge_method: slerp
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dtype: bfloat16
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# - Behavioral instability introduced
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models:
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parameters:
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weight: 0.55
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# Primary host (human cognitive baseline)
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- model: juiceb0xc0de/bella-bartender-heretic-1b
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parameters:
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weight: 0.45
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# Bartender personality acts as a destabilizing agent,
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tie_output_embeddings: true
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```
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base_model: juiceb0xc0de/bella-bartender-heretic-1b
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models:
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# Bartender personality acts as a destabilizing agent,
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tie_word_embeddings: true
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