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RichardErkhov/
athirdpath_-_Iambe-20b-DARE-v2-gguf

Name: athirdpath_-_Iambe-20b-DARE-v2-gguf
Availability: InStock

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gguf

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Iambe-20b-DARE-v2 - GGUF

Model creator: https://huggingface.co/athirdpath/
Original model: https://huggingface.co/athirdpath/Iambe-20b-DARE-v2/

Name	Quant method	Size
Iambe-20b-DARE-v2.Q2_K.gguf	Q2_K	6.91GB
Iambe-20b-DARE-v2.IQ3_XS.gguf	IQ3_XS	7.63GB
Iambe-20b-DARE-v2.IQ3_S.gguf	IQ3_S	8.06GB
Iambe-20b-DARE-v2.Q3_K_S.gguf	Q3_K_S	8.06GB
Iambe-20b-DARE-v2.IQ3_M.gguf	IQ3_M	8.53GB
Iambe-20b-DARE-v2.Q3_K.gguf	Q3_K	9.04GB
Iambe-20b-DARE-v2.Q3_K_M.gguf	Q3_K_M	9.04GB
Iambe-20b-DARE-v2.Q3_K_L.gguf	Q3_K_L	9.9GB
Iambe-20b-DARE-v2.IQ4_XS.gguf	IQ4_XS	10.01GB
Iambe-20b-DARE-v2.Q4_0.gguf	Q4_0	10.52GB
Iambe-20b-DARE-v2.IQ4_NL.gguf	IQ4_NL	10.57GB
Iambe-20b-DARE-v2.Q4_K_S.gguf	Q4_K_S	10.59GB
Iambe-20b-DARE-v2.Q4_K.gguf	Q4_K	11.22GB
Iambe-20b-DARE-v2.Q4_K_M.gguf	Q4_K_M	11.22GB
Iambe-20b-DARE-v2.Q4_1.gguf	Q4_1	11.67GB
Iambe-20b-DARE-v2.Q5_0.gguf	Q5_0	12.83GB
Iambe-20b-DARE-v2.Q5_K_S.gguf	Q5_K_S	12.83GB
Iambe-20b-DARE-v2.Q5_K.gguf	Q5_K	13.18GB
Iambe-20b-DARE-v2.Q5_K_M.gguf	Q5_K_M	13.18GB
Iambe-20b-DARE-v2.Q5_1.gguf	Q5_1	13.98GB
Iambe-20b-DARE-v2.Q6_K.gguf	Q6_K	15.28GB
Iambe-20b-DARE-v2.Q8_0.gguf	Q8_0	19.79GB

Original model description:

license: cc-by-nc-4.0 language:

Strange quirk: This model seems to need a context size of EXACTLY 4096 ONLY. I'm assuming this is a dares_ties effect?

Iambe-20b-DARE-v2

Alpaca prompt formatting

Description

Named after a charming daughter of Echo and Pan in Greek myth, Iambe-20b-DARE-v2 is an improved DARE merge building on my recent experiments.

Iambe is intended to have the best realistically possible understanding of anatomy and of a scene's state for a 20b merge, while remaining personable and authentic in "voice".

Update Methodology

Noromaid and the general "no-robots" vibe didn't come through like I'd hoped in v1. My hypothesis is that the "soul" MythoMax and Noromaid have is probably distributed widely over many low-value deltas, due to the "ephemeral" nature of such a thing.

My old base model was likely giving DARE conniption fits, so I replaced that with a truly vanilla 20b base model.

CleverGirl was updated to the DARE version, as Sir Hillary said, simply because it was there.

Without a large base of dare_ties models to compare to, I'm basically feeling my way through this intuitively, so here's to good results!

Recipe

merge_method: dare_ties

base_model: athirdpath/BigLlama-20b-v1.1
model: Noromaid-20b-v0.1.1

weight: 0.38 / density: 0.60
model: athirdpath/athirdpath/Eileithyia-20b

weight: 0.22 / density: 0.40
model: athirdpath/CleverGirl-20b-Blended-v1.1-DARE

weight: 0.40 / density: 0.33

int8_mask: true

dtype: bfloat16

RichardErkhov/athirdpath_-_Iambe-20b-DARE-v2-gguf

Original model description:

Description

Update Methodology

Recipe

RichardErkhov/
athirdpath_-_Iambe-20b-DARE-v2-gguf