Description
This is a GPTQ 4-bit quantized version of Llama-3-Lumimaid-8B-v0.1
This was quantized using for 8192 seqlen using the AutoGPTQ wikitext2 example
This is my first quant, so I could have messed up somewhere. However, I did some testing and it looks like it's working well. by mikudev
license: cc-by-nc-4.0 tags:
- not-for-all-audiences
- nsfw
Lumimaid 0.1
This model uses the Llama3 prompting format
Llama3 trained on our RP datasets, we tried to have a balance between the ERP and the RP, not too horny, but just enough.
We also added some non-RP dataset, making the model less dumb overall. It should look like a 40%/60% ratio for Non-RP/RP+ERP data.
This model includes the new Luminae dataset from Ikari.
If you consider trying this model please give us some feedback either on the Community tab on hf or on our Discord Server.
Credits:
- Undi
- IkariDev
Description
This repo contains FP16 files of Lumimaid-8B-v0.1.
Training data used:
- Aesir datasets
- NoRobots
- limarp - 8k ctx
- toxic-dpo-v0.1-sharegpt
- ToxicQAFinal
- Luminae-i1 (70B/70B-alt) (i2 was not existing when the 70b started training) | Luminae-i2 (8B) (this one gave better results on the 8b) - Ikari's Dataset
- Squish42/bluemoon-fandom-1-1-rp-cleaned - 50% (randomly)
- NobodyExistsOnTheInternet/PIPPAsharegptv2test - 5% (randomly)
- cgato/SlimOrcaDedupCleaned - 5% (randomly)
- Airoboros (reduced)
- Capybara (reduced)
Models used (only for 8B)
- Initial LumiMaid 8B Finetune
- Undi95/Llama-3-Unholy-8B-e4
- Undi95/Llama-3-LewdPlay-8B
Prompt template: Llama3
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
{system_prompt}<|eot_id|><|start_header_id|>user<|end_header_id|>
{input}<|eot_id|><|start_header_id|>assistant<|end_header_id|>
{output}<|eot_id|>
Others
Undi: If you want to support us, you can here.
IkariDev: Visit my retro/neocities style website please kek
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