73 lines
2.7 KiB
Markdown
73 lines
2.7 KiB
Markdown
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---
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base_model: snorkelai/Snorkel-Mistral-PairRM-DPO
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datasets:
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- snorkelai/Snorkel-Mistral-PairRM-DPO-Dataset
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- HuggingFaceH4/ultrafeedback_binarized
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license: apache-2.0
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language:
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- en
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model_creator: snorkelai
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model_name: Snorkel-Mistral-PairRM-DPO
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model_type: mistral
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inference: false
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pipeline_tag: text-generation
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prompt_template: |
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<|im_start|>system
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{{system_message}}<|im_end|>
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<|im_start|>user
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{{prompt}}<|im_end|>
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<|im_start|>assistant
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quantized_by: brittlewis12
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---
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# Snorkel-Mistral-PairRM-DPO GGUF
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Original model: [Snorkel-Mistral-PairRM-DPO](https://huggingface.co/snorkelai/Snorkel-Mistral-PairRM-DPO)
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Model creator: [Snorkel AI](https://huggingface.co/snorkelai)
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This repo contains GGUF format model files for Snorkel AI’s Snorkel-Mistral-PairRM-DPO.
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> With this demonstration, we focus on the general approach to alignment. Thus, we use a general-purpose reward model - the performant PairRM model. We use the Mistral-7B-Instruct-v0.2 model as our base LLM.
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### What is GGUF?
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GGUF is a file format for representing AI models. It is the third version of the format, introduced by the llama.cpp team on August 21st 2023. It is a replacement for GGML, which is no longer supported by llama.cpp.
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Converted using llama.cpp b1960 ([26d6076](https://github.com/ggerganov/llama.cpp/commits/26d607608d794efa56df3bdb6043a2f94c1d632c))
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### Prompt template: ChatML
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```
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<|im_start|>system
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{{system_message}}<|im_end|>
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<|im_start|>user
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{{prompt}}<|im_end|>
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<|im_start|>assistant
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```
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---
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## Download & run with [cnvrs](https://twitter.com/cnvrsai) on iPhone, iPad, and Mac!
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[cnvrs](https://testflight.apple.com/join/sFWReS7K) is the best app for private, local AI on your device:
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- create & save **Characters** with custom system prompts & temperature settings
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- download and experiment with any **GGUF model** you can [find on HuggingFace](https://huggingface.co/models?library=gguf)!
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- make it your own with custom **Theme colors**
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- powered by Metal ⚡️ & [Llama.cpp](https://github.com/ggerganov/llama.cpp), with **haptics** during response streaming!
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- **try it out** yourself today, on [Testflight](https://testflight.apple.com/join/sFWReS7K)!
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- follow [cnvrs on twitter](https://twitter.com/cnvrsai) to stay up to date
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---
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## Original Model Evaluations:
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> On [**Alpaca-Eval 2.0**](https://tatsu-lab.github.io/alpaca_eval/):
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> - The base model: [Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) scored **14.72**.
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>
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> After applying the above methodology:
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> - This model scored **30.22** - ranked 3rd and the highest for an open-source base model at the time of publication.
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