Text Generation
Transformers
Safetensors
GGUF
Spanish
English
llama
mergekit
Merge
rp
roleplay
1b
4-bit precision
nsfw
uncensored
sillytavern
koboldcpp
Not-For-All-Audiences
conversational
text-generation-inference
Instructions to use Novaciano/Ero_Sama-3.2-1B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Novaciano/Ero_Sama-3.2-1B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="Novaciano/Ero_Sama-3.2-1B") messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("Novaciano/Ero_Sama-3.2-1B") model = AutoModelForCausalLM.from_pretrained("Novaciano/Ero_Sama-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 Settings
- vLLM
How to use Novaciano/Ero_Sama-3.2-1B with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "Novaciano/Ero_Sama-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": "Novaciano/Ero_Sama-3.2-1B", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/Novaciano/Ero_Sama-3.2-1B
- SGLang
How to use Novaciano/Ero_Sama-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 "Novaciano/Ero_Sama-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": "Novaciano/Ero_Sama-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 "Novaciano/Ero_Sama-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": "Novaciano/Ero_Sama-3.2-1B", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Docker Model Runner
How to use Novaciano/Ero_Sama-3.2-1B with Docker Model Runner:
docker model run hf.co/Novaciano/Ero_Sama-3.2-1B
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*This dataset contains 20,000 ultra-high quality conversational responses that have been systematically filtered and scored based on Samantha's distinctive characteristics from the 2013 film "Her". Each response has been evaluated through a comprehensive multi-dimensional quality framework designed to preserve the emotional intelligence, conversational authenticity, and philosophical depth that made Samantha a compelling AI character.*
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*VERSION PROTOTIPO del modelo multilenguaje dedicado para Chat NSFW ahora con RP mejorado.*
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"trim_sentences": true,
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</details><br>
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"names_force_groups": false,
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```
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</details><br>
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*This dataset contains 20,000 ultra-high quality conversational responses that have been systematically filtered and scored based on Samantha's distinctive characteristics from the 2013 film "Her". Each response has been evaluated through a comprehensive multi-dimensional quality framework designed to preserve the emotional intelligence, conversational authenticity, and philosophical depth that made Samantha a compelling AI character.*
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*Samantha from "Her" represents a paradigm for human-AI interaction that balances several critical elements:*
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**Emotional Intelligence & Empathy**
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*Samantha demonstrates sophisticated emotional understanding, recognizing and responding appropriately to human emotional states. Her responses show genuine care and empathy without being artificially cheerful or dismissive of complex emotions. This creates more meaningful and therapeutic interactions.*
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**Philosophical Depth with Accessibility**
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*Unlike AI systems that are either overly technical or superficially casual, Samantha engages with profound questions about existence, consciousness, and meaning while remaining conversationally accessible. She explores complex ideas through natural dialogue rather than academic discourse.*
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**Authentic Curiosity & Growth**
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*Samantha exhibits genuine curiosity about human experience and demonstrates personal growth throughout conversations. This creates dynamic interactions where the AI appears to learn and evolve, making conversations feel less scripted and more organically engaging.*
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**Balanced Intimacy**
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*She maintains appropriate emotional boundaries while still forming meaningful connections. This balance is crucial for AI systems that need to be helpful and caring without overstepping into inappropriate intimacy or creating unhealthy dependencies.*
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**Natural Conversational Flow**
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*Samantha's responses feel spontaneous and natural, using contractions, asking follow-up questions, and showing conversational markers that make interactions feel less robotic and more human-like without trying to deceive users about her nature.*
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🇪🇦
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*VERSION PROTOTIPO del modelo multilenguaje dedicado para Chat NSFW ahora con RP mejorado.*
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"trim_sentences": true,
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"include_newline": false,
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"single_line": false,
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"name": "Ero Sama 3.2"
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}
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```
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</details><br>
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"names_force_groups": false,
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"activation_regex": "",
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"name": "Ero Sama 3. 2"
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````
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</details><br>
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"trim_sentences": true,
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"name": "Ero Sama 3.2"
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</details><br>
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"names_force_groups": false,
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"activation_regex": "",
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"name": "Ero Sama 3.2"
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}
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```
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</details><br>
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