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RichardErkhov/
maldv_-_winter-garden-7b-delta-gguf

Name: maldv_-_winter-garden-7b-delta-gguf
Availability: InStock

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Quantization made by Richard Erkhov.

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winter-garden-7b-delta - GGUF

Model creator: https://huggingface.co/maldv/
Original model: https://huggingface.co/maldv/winter-garden-7b-delta/

Name	Quant method	Size
winter-garden-7b-delta.Q2_K.gguf	Q2_K	2.53GB
winter-garden-7b-delta.IQ3_XS.gguf	IQ3_XS	2.81GB
winter-garden-7b-delta.IQ3_S.gguf	IQ3_S	2.96GB
winter-garden-7b-delta.Q3_K_S.gguf	Q3_K_S	2.95GB
winter-garden-7b-delta.IQ3_M.gguf	IQ3_M	3.06GB
winter-garden-7b-delta.Q3_K.gguf	Q3_K	3.28GB
winter-garden-7b-delta.Q3_K_M.gguf	Q3_K_M	3.28GB
winter-garden-7b-delta.Q3_K_L.gguf	Q3_K_L	3.56GB
winter-garden-7b-delta.IQ4_XS.gguf	IQ4_XS	3.67GB
winter-garden-7b-delta.Q4_0.gguf	Q4_0	3.83GB
winter-garden-7b-delta.IQ4_NL.gguf	IQ4_NL	3.87GB
winter-garden-7b-delta.Q4_K_S.gguf	Q4_K_S	3.86GB
winter-garden-7b-delta.Q4_K.gguf	Q4_K	4.07GB
winter-garden-7b-delta.Q4_K_M.gguf	Q4_K_M	4.07GB
winter-garden-7b-delta.Q4_1.gguf	Q4_1	4.24GB
winter-garden-7b-delta.Q5_0.gguf	Q5_0	4.65GB
winter-garden-7b-delta.Q5_K_S.gguf	Q5_K_S	4.65GB
winter-garden-7b-delta.Q5_K.gguf	Q5_K	4.78GB
winter-garden-7b-delta.Q5_K_M.gguf	Q5_K_M	4.78GB
winter-garden-7b-delta.Q5_1.gguf	Q5_1	5.07GB
winter-garden-7b-delta.Q6_K.gguf	Q6_K	5.53GB
winter-garden-7b-delta.Q8_0.gguf	Q8_0	7.17GB

Original model description:

license: cc-by-nc-4.0 tags:

merge
conversational
multi-task pipeline_tag: text-generation

Winter Garden 7B - δ - "Charming"

It was mentioned that we are in the open ai dark winter; so I thought I would make myself a nice winter garden.

An experiment

I performed the same type of merge as in the previous model, but with a different set of models. I took the following models:

Mistral-7B-v0.1

and merged in

KuNoichi-DPO-v2-7B
Datura_7B
AlphaMonarch-7B
LemonadeRP-4.5.3
Prima-LelantaclesV6-7b
FuseChat-7B-VaRM
Capricorn-7B-DPO
eros-7b-test
NeuralMarcoro14-7B
StrangeMerges_6-7B-dare_ties
Multi-Verse-RP-7B
WestLake-7B-v2-laser-truthy-dpo
Noromaid-7B-0.4-DPO
Thespis-Balanced-7b-v1
InfinityRP-v1-7B
winter-garden-7b-gamma

in an iterative DARE-TIES tree merge, ordering the merge order by tensor-relative cosine similarity until the merge branches resolve to a single value.

Chat Template

These models were selected because they follow my chat template, which is '' ended turns. A lot of models follow this template by default because they were trained with end padding, so this is a natural choice for chat, and should be highly compatible with ST.

Tom: Hello, how are you?</s>
Jane: I am fine, thank you.</s>

Why?

The purpose of all of these models is to act as a base for me to train on. This one so far has the best multi-turn conversational ability, and should get really good at following long-form conversations after a bit of tweaking.

Scores

Metric	Score
Average	64.93
ARC	64.16
HellaSwag	84.37
MMLU	60.38
TruthfulQA	67.95
Winogrande	76.72
GSM8K	36.01

Details

RichardErkhov/maldv_-_winter-garden-7b-delta-gguf