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rbgo_-_Super-phi-2-dpo-gguf
RichardErkhov/rbgo_-_Super-phi-2-dpo-gguf
rbgo_-_Super-phi-2-dpo-gguf is a machine learning model from RichardErkhov. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
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.gguf34 GB · 100%
At a glance
- Access
- Public
- Created
- Nov 3, 2024
- Updated
- Nov 3, 2024
- SHA
- aef3999c
Model card
From the Hugging Face model README
Quantization made by Richard Erkhov.
Super-phi-2-dpo - GGUF
- Model creator: https://huggingface.co/rbgo/
- Original model: https://huggingface.co/rbgo/Super-phi-2-dpo/
| Name | Quant method | Size |
|---|---|---|
| Super-phi-2-dpo.Q2_K.gguf | Q2_K | 1.01GB |
| Super-phi-2-dpo.Q3_K_S.gguf | Q3_K_S | 1.16GB |
| Super-phi-2-dpo.Q3_K.gguf | Q3_K | 1.38GB |
| Super-phi-2-dpo.Q3_K_M.gguf | Q3_K_M | 1.38GB |
| Super-phi-2-dpo.Q3_K_L.gguf | Q3_K_L | 1.49GB |
| Super-phi-2-dpo.IQ4_XS.gguf | IQ4_XS | 1.43GB |
| Super-phi-2-dpo.Q4_0.gguf | Q4_0 | 1.49GB |
| Super-phi-2-dpo.IQ4_NL.gguf | IQ4_NL | 1.5GB |
| Super-phi-2-dpo.Q4_K_S.gguf | Q4_K_S | 1.5GB |
| Super-phi-2-dpo.Q4_K.gguf | Q4_K | 1.67GB |
| Super-phi-2-dpo.Q4_K_M.gguf | Q4_K_M | 1.67GB |
| Super-phi-2-dpo.Q4_1.gguf | Q4_1 | 1.65GB |
| Super-phi-2-dpo.Q5_0.gguf | Q5_0 | 1.8GB |
| Super-phi-2-dpo.Q5_K_S.gguf | Q5_K_S | 1.8GB |
| Super-phi-2-dpo.Q5_K.gguf | Q5_K | 1.93GB |
| Super-phi-2-dpo.Q5_K_M.gguf | Q5_K_M | 1.93GB |
| Super-phi-2-dpo.Q5_1.gguf | Q5_1 | 1.95GB |
| Super-phi-2-dpo.Q6_K.gguf | Q6_K | 2.13GB |
| Super-phi-2-dpo.Q8_0.gguf | Q8_0 | 2.75GB |
Original model description:
base_model: microsoft/phi-2 inference: false language:
- en license: mit model-index:
- name: phi-2 results: [] model_creator: microsoft model_name: phi-2 model_type: phi prompt_template: | <|im_start|>system {system_message}<|im_end|> <|im_start|>user {prompt}<|im_end|> <|im_start|>assistant finetuned_by: Inferless tags:
- finetune
- rl
- dpo
- phi
- nlp pipeline_tag: text-generation datasets:
- argilla/distilabel-intel-orca-dpo-pairs
<!-- markdownlint-disable MD041 --> <!-- header start --> <!-- 200823 --> <div style="width: auto; margin-left: auto; margin-right: auto"> <img src="https://pbs.twimg.com/profile_banners/1633782755669708804/1678359514/1500x500" alt="Inferless" style="width: 100%; min-width: 400px; display: block; margin: auto;"> </div> <div style="display: flex; justify-content: space-between; width: 100%;"> <div style="display: flex; flex-direction: column; align-items: flex-start;"> <p style="margin-top: 0.5em; margin-bottom: 0em;">Serverless GPUs to scale your machine learning inference without any hassle of managing servers, deploy complicated and custom models with ease.</p> </div> <!-- <div style="display: flex; flex-direction: column; align-items: flex-end;"> <p style="margin-top: 0.5em; margin-bottom: 0em;"><a href="https://www.patreon.com/TheBlokeAI">Want to contribute? TheBloke's Patreon page</a></p> </div> --> </div> <div style="text-align:center; margin-top: 0em; margin-bottom: 0em"><p style="margin-top: 0.25em; margin-bottom: 0em;"><a href="https://0ooatrmbp25.typeform.com/to/nzuhQtba"><b>Join Private Beta</b></a></p></div> <div style="text-align:center; margin-top: 0em; margin-bottom: 0em"><p style="margin-top: 0.25em; margin-bottom: 0em;">Go through <a href="https://tutorials.inferless.com/deploy-deci-7b-using-inferless">this tutorial</a>, for quickly deploy of <b>Phi-2</b> using Inferless</p></div> <hr style="margin-top: 1.0em; margin-bottom: 1.0em;"> <!-- header end --> <!-- description start -->
Description
This repo contains DPO Finetuned model files for Microsoft Phi-2.
- Created
- Nov 3, 2024
- Updated
- Nov 3, 2024