45 lines
1.3 KiB
Markdown
45 lines
1.3 KiB
Markdown
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---
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license: apache-2.0
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---
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# Model Card for Soniox-7B-v1.0
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Soniox 7B is a powerful large language model. Supports English and code with 8K context.
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Matches GPT-4 performance on some benchmarks.
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Built on top of Mistral 7B, enhanced with additional pre-training and fine-tuning for strong problem-solving capabilities.
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Apache 2.0 License.
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For more details, please read our [blog post](https://soniox.com/news/soniox-7B).
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## Usage in Transformers
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The model is available in transformers and can be used as follows:
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```python
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import torch
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from transformers import AutoModelForCausalLM, AutoTokenizer
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model_path = "soniox/Soniox-7B-v1.0"
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model = AutoModelForCausalLM.from_pretrained(model_path, torch_dtype=torch.float16)
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tokenizer = AutoTokenizer.from_pretrained(model_path)
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device = "cuda"
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model.to(device)
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messages = [
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{"role": "user", "content": "12 plus 21?"},
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{"role": "assistant", "content": "33."},
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{"role": "user", "content": "Five minus one?"},
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]
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tok_prompt = tokenizer.apply_chat_template(messages, return_tensors="pt")
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model_inputs = tok_prompt.to(device)
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generated_ids = model.generate(model_inputs, max_new_tokens=1000, do_sample=True)
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decoded = tokenizer.batch_decode(generated_ids)
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print(decoded[0])
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```
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## Inference deployment
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Refer to our [documentation](https://docs.soniox.com) for inference with vLLM and other
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deployment options.
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