Borealis-10.7B-DPO-GPTQ

Borealis

Borealis-10.7B-DPO is a 10.7B model made of 48 Mistral 7B layers, finetuned for +70h on 2xA6000 on a big RP and Conversational dataset with llama2 configuration of Axolotl, like SOLAR.

This variant had a DPO train on top of it.

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Description

This repo contains fp16 files of Borealis-10.7B-DPO, a conversational model.

The goal of this model isn't to break all benchmark, but to have a better RP/ERP/Conversational model.

It was trained on multiple basic dataset to make it intelligent, but majority of the dataset was basic conversations.

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Dataset used

• NobodyExistsOnTheInternet/ToxicQAFinal
• teknium/openhermes
• unalignment/spicy-3.1
• Doctor-Shotgun/no-robots-sharegpt
• Undi95/toxic-dpo-v0.1-sharegpt
• Aesir [1], [2], [3-SFW], [3-NSFW]
• lemonilia/LimaRP
• Squish42/bluemoon-fandom-1-1-rp-cleaned
• Undi95/ConversationChronicles-sharegpt-SHARDED (2 sets, modified)

DPO Dataset used

• Intel/orca_dpo_pairs
• NobodyExistsOnTheInternet/ToxicDPOqa
• Undi95/toxic-dpo-v0.1-NoWarning

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Prompt format: NsChatml

<|im_system|>
{sysprompt}<|im_end|>
<|im_user|>
{input}<|im_end|>
<|im_bot|>
{output}<|im_end|>

Others

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