merge
This is a merge of pre-trained language models created using mergekit.
Merge Details
Merge Method
This model was merged using the linear merge method using huihui-ai/Llama-3.2-3B-Instruct-abliterated as a base.
Models Merged
The following models were included in the merge:
- Hjgugugjhuhjggg/mergekit-ties-qgcitfu
- ValiantLabs/Llama3.2-3B-ShiningValiant2
- CarrotAI/Llama-3.2-Rabbit-Ko-3B-Instruct
- Atharva26/llama-3.2-3b-mathdaily-chatbot
- bunnycore/Llama-3.2-3B-ProdigyPlusPlus
- disi-unibo-nlp/llama3.2-3B-SFT-medqa-triples-cot
- Hjgugugjhuhjggg/mergekit-ties-poovzrh
- bunnycore/Llama-3.2-3B-Long-Think
- noaebbot/llama3.2-3B-insights
- ValiantLabs/Llama3.2-3B-Enigma
- meta-llama/Llama-3.2-3B-Instruct
- Hjgugugjhuhjggg/mergekit-ties-pghuyfi
- Diluksha/Llama_3.2_3B_sql_finetuned_full
- bunnycore/Llama-3.2-3B-Mix
- Hjgugugjhuhjggg/mergekit-ties-xflmond
- bunnycore/Llama-3.2-3B-Pure-RP
- chuanli11/Llama-3.2-3B-Instruct-uncensored
- EmTpro01/llama-3.2-Code-Generator
- bunnycore/Llama-3.2-3B-Booval
- bunnycore/Llama-3.2-3B-Prodigy
- BrainWave-ML/llama3.2-3B-codemath-orpo
- bunnycore/Llama-3.2-3B-TitanFusion
- bunnycore/Llama-3.2-3B-CodeReactor
- Hjgugugjhuhjggg/mergekit-ties-kmlzhzo
- Hjgugugjhuhjggg/mergekit-ties-esawwda
- bunnycore/Llama-3.2-3B-TitanFusion-v2
- disi-unibo-nlp/llama3.2-3B-SFT-medmcqa-triples-cot
- bunnycore/Llama-3.2-3B-Mix-Skill
- bunnycore/Llama-3.2-3B-Sci-Think
- AELLM/Llama-3.2-Chibi-3B
- AcademieDuNumerique/Llama-3.2-3B-SQL-Instruct
- roger33303/Best_Model-llama3.2-3b-Instruct-Finetune-website-QnA
- Hjgugugjhuhjggg/mergekit-ties-dkhnzcn
- Isotonic/reasoning-llama3.2-3b
- meta-llama/Llama-3.2-3B
- bunnycore/Llama-3.2-3B-Apex
- TroyDoesAI/BlackSheep-Llama3.2-3B-Context_Obedient
- CK0607/llama3.2-3B-CodeP
- bunnycore/Llama-3.2-3B-Stock
Configuration
The following YAML configuration was used to produce this model:
models:
- layer_range: [0, 28]
model: Hjgugugjhuhjggg/mergekit-ties-qgcitfu
parameters:
weight: 1
density: 0.9
gamma: 0.01
normalize: true
int8_mask: true
random_seed: 0
temperature: 0.5
top_p: 0.65
inference: true
max_tokens: 999999999
stream: true
quantization:
- method: int8
value: 100
- method: int4
value: 100
- layer_range: [0, 28]
model: Hjgugugjhuhjggg/mergekit-ties-esawwda
parameters:
weight: 1
density: 0.9
gamma: 0.01
normalize: true
int8_mask: true
random_seed: 0
temperature: 0.5
top_p: 0.65
inference: true
max_tokens: 999999999
stream: true
quantization:
- method: int8
value: 100
- method: int4
value: 100
- layer_range: [0, 28]
model: Hjgugugjhuhjggg/mergekit-ties-dkhnzcn
parameters:
weight: 1
density: 0.9
gamma: 0.01
normalize: true
int8_mask: true
random_seed: 0
temperature: 0.5
top_p: 0.65
inference: true
max_tokens: 999999999
stream: true
quantization:
- method: int8
value: 100
- method: int4
value: 100
- layer_range: [0, 28]
model: Hjgugugjhuhjggg/mergekit-ties-poovzrh
parameters:
weight: 1
density: 0.9
gamma: 0.01
normalize: true
int8_mask: true
random_seed: 0
temperature: 0.5
top_p: 0.65
inference: true
max_tokens: 999999999
stream: true
quantization:
- method: int8
value: 100
- method: int4
value: 100
- layer_range: [0, 28]
model: Hjgugugjhuhjggg/mergekit-ties-pghuyfi
parameters:
weight: 1
density: 0.9
gamma: 0.01
normalize: true
int8_mask: true
random_seed: 0
temperature: 0.5
top_p: 0.65
inference: true
max_tokens: 999999999
stream: true
quantization:
- method: int8
value: 100
- method: int4
value: 100
- layer_range: [0, 28]
model: Hjgugugjhuhjggg/mergekit-ties-kmlzhzo
parameters:
weight: 1
density: 0.9
gamma: 0.01
normalize: true
int8_mask: true
random_seed: 0
temperature: 0.5
top_p: 0.65
inference: true
max_tokens: 999999999
stream: true
quantization:
- method: int8
value: 100
- method: int4
value: 100
- layer_range: [0, 28]
model: Hjgugugjhuhjggg/mergekit-ties-xflmond
parameters:
weight: 1
density: 0.9
gamma: 0.01
normalize: true
int8_mask: true
random_seed: 0
temperature: 0.5
top_p: 0.65
inference: true
max_tokens: 999999999
stream: true
quantization:
- method: int8
value: 100
- method: int4
value: 100
- layer_range: [0, 28]
model: bunnycore/Llama-3.2-3B-Long-Think
parameters:
weight: 0.5
density: 0.5
gamma: 0.01
normalize: true
int8_mask: true
random_seed: 0
temperature: 0.5
top_p: 0.65
inference: true
max_tokens: 999999999
stream: true
quantization:
- method: int8
value: 100
- method: int4
value: 100
- layer_range: [0, 28]
model: bunnycore/Llama-3.2-3B-Pure-RP
parameters:
weight: 0.5
density: 0.5
gamma: 0.01
normalize: true
int8_mask: true
random_seed: 0
temperature: 0.5
top_p: 0.65
inference: true
max_tokens: 999999999
stream: true
quantization:
- method: int8
value: 100
- method: int4
value: 100
- layer_range: [0, 28]
model: bunnycore/Llama-3.2-3B-Apex
parameters:
weight: 0.5
density: 0.5
gamma: 0.01
normalize: true
int8_mask: true
random_seed: 0
temperature: 0.5
top_p: 0.65
inference: true
max_tokens: 999999999
stream: true
quantization:
- method: int8
value: 100
- method: int4
value: 100
- layer_range: [0, 28]
model: bunnycore/Llama-3.2-3B-Mix-Skill
parameters:
weight: 0.5
density: 0.5
gamma: 0.01
normalize: true
int8_mask: true
random_seed: 0
temperature: 0.5
top_p: 0.65
inference: true
max_tokens: 999999999
stream: true
quantization:
- method: int8
value: 100
- method: int4
value: 100
- layer_range: [0, 28]
model: bunnycore/Llama-3.2-3B-Booval
parameters:
weight: 0.5
density: 0.5
gamma: 0.01
normalize: true
int8_mask: true
random_seed: 0
temperature: 0.5
top_p: 0.65
inference: true
max_tokens: 999999999
stream: true
quantization:
- method: int8
value: 100
- method: int4
value: 100
- layer_range: [0, 28]
model: bunnycore/Llama-3.2-3B-ProdigyPlusPlus
parameters:
weight: 0.5
density: 0.5
gamma: 0.01
normalize: true
int8_mask: true
random_seed: 0
temperature: 0.5
top_p: 0.65
inference: true
max_tokens: 999999999
stream: true
quantization:
- method: int8
value: 100
- method: int4
value: 100
- layer_range: [0, 28]
model: bunnycore/Llama-3.2-3B-Prodigy
parameters:
weight: 0.5
density: 0.5
gamma: 0.01
normalize: true
int8_mask: true
random_seed: 0
temperature: 0.5
top_p: 0.65
inference: true
max_tokens: 999999999
stream: true
quantization:
- method: int8
value: 100
- method: int4
value: 100
- layer_range: [0, 28]
model: bunnycore/Llama-3.2-3B-Sci-Think
parameters:
weight: 0.5
density: 0.5
gamma: 0.01
normalize: true
int8_mask: true
random_seed: 0
temperature: 0.5
top_p: 0.65
inference: true
max_tokens: 999999999
stream: true
quantization:
- method: int8
value: 100
- method: int4
value: 100
- layer_range: [0, 28]
model: bunnycore/Llama-3.2-3B-Stock
parameters:
weight: 0.5
density: 0.5
gamma: 0.01
normalize: true
int8_mask: true
random_seed: 0
temperature: 0.5
top_p: 0.65
inference: true
max_tokens: 999999999
stream: true
quantization:
- method: int8
value: 100
- method: int4
value: 100
- layer_range: [0, 28]
model: chuanli11/Llama-3.2-3B-Instruct-uncensored
parameters:
weight: 0.5
density: 0.5
gamma: 0.01
normalize: true
int8_mask: true
random_seed: 0
temperature: 0.5
top_p: 0.65
inference: true
max_tokens: 999999999
stream: true
quantization:
- method: int8
value: 100
- method: int4
value: 100
- layer_range: [0, 28]
model: ValiantLabs/Llama3.2-3B-Enigma
parameters:
weight: 0.5
density: 0.5
gamma: 0.01
normalize: true
int8_mask: true
random_seed: 0
temperature: 0.5
top_p: 0.65
inference: true
max_tokens: 999999999
stream: true
quantization:
- method: int8
value: 100
- method: int4
value: 100
- layer_range: [0, 28]
model: CarrotAI/Llama-3.2-Rabbit-Ko-3B-Instruct
parameters:
weight: 0.5
density: 0.5
gamma: 0.01
normalize: true
int8_mask: true
random_seed: 0
temperature: 0.5
top_p: 0.65
inference: true
max_tokens: 999999999
stream: true
quantization:
- method: int8
value: 100
- method: int4
value: 100
- layer_range: [0, 28]
model: AELLM/Llama-3.2-Chibi-3B
parameters:
weight: 0.5
density: 0.5
gamma: 0.01
normalize: true
int8_mask: true
random_seed: 0
temperature: 0.5
top_p: 0.65
inference: true
max_tokens: 999999999
stream: true
quantization:
- method: int8
value: 100
- method: int4
value: 100
- layer_range: [0, 28]
model: EmTpro01/llama-3.2-Code-Generator
parameters:
weight: 0.5
density: 0.5
gamma: 0.01
normalize: true
int8_mask: true
random_seed: 0
temperature: 0.5
top_p: 0.65
inference: true
max_tokens: 999999999
stream: true
quantization:
- method: int8
value: 100
- method: int4
value: 100
- layer_range: [0, 28]
model: disi-unibo-nlp/llama3.2-3B-SFT-medmcqa-triples-cot
parameters:
weight: 0.5
density: 0.5
gamma: 0.01
normalize: true
int8_mask: true
random_seed: 0
temperature: 0.5
top_p: 0.65
inference: true
max_tokens: 999999999
stream: true
quantization:
- method: int8
value: 100
- method: int4
value: 100
- layer_range: [0, 28]
model: Atharva26/llama-3.2-3b-mathdaily-chatbot
parameters:
weight: 0.5
density: 0.5
gamma: 0.01
normalize: true
int8_mask: true
random_seed: 0
temperature: 0.5
top_p: 0.65
inference: true
max_tokens: 999999999
stream: true
quantization:
- method: int8
value: 100
- method: int4
value: 100
- layer_range: [0, 28]
model: Diluksha/Llama_3.2_3B_sql_finetuned_full
parameters:
weight: 0.5
density: 0.5
gamma: 0.01
normalize: true
int8_mask: true
random_seed: 0
temperature: 0.5
top_p: 0.65
inference: true
max_tokens: 999999999
stream: true
quantization:
- method: int8
value: 100
- method: int4
value: 100
- layer_range: [0, 28]
model: bunnycore/Llama-3.2-3B-CodeReactor
parameters:
weight: 0.5
density: 0.5
gamma: 0.01
normalize: true
int8_mask: true
random_seed: 0
temperature: 0.5
top_p: 0.65
inference: true
max_tokens: 999999999
stream: true
quantization:
- method: int8
value: 100
- method: int4
value: 100
- layer_range: [0, 28]
model: AcademieDuNumerique/Llama-3.2-3B-SQL-Instruct
parameters:
weight: 0.5
density: 0.5
gamma: 0.01
normalize: true
int8_mask: true
random_seed: 0
temperature: 0.5
top_p: 0.65
inference: true
max_tokens: 999999999
stream: true
quantization:
- method: int8
value: 100
- method: int4
value: 100
- layer_range: [0, 28]
model: roger33303/Best_Model-llama3.2-3b-Instruct-Finetune-website-QnA
parameters:
weight: 0.5
density: 0.5
gamma: 0.01
normalize: true
int8_mask: true
random_seed: 0
temperature: 0.5
top_p: 0.65
inference: true
max_tokens: 999999999
stream: true
quantization:
- method: int8
value: 100
- method: int4
value: 100
- layer_range: [0, 28]
model: noaebbot/llama3.2-3B-insights
parameters:
weight: 0.5
density: 0.5
gamma: 0.01
normalize: true
int8_mask: true
random_seed: 0
temperature: 0.5
top_p: 0.65
inference: true
max_tokens: 999999999
stream: true
quantization:
- method: int8
value: 100
- method: int4
value: 100
- layer_range: [0, 28]
model: bunnycore/Llama-3.2-3B-TitanFusion-v2
parameters:
weight: 0.5
density: 0.5
gamma: 0.01
normalize: true
int8_mask: true
random_seed: 0
temperature: 0.5
top_p: 0.65
inference: true
max_tokens: 999999999
stream: true
quantization:
- method: int8
value: 100
- method: int4
value: 100
- layer_range: [0, 28]
model: bunnycore/Llama-3.2-3B-TitanFusion
parameters:
weight: 0.5
density: 0.5
gamma: 0.01
normalize: true
int8_mask: true
random_seed: 0
temperature: 0.5
top_p: 0.65
inference: true
max_tokens: 999999999
stream: true
quantization:
- method: int8
value: 100
- method: int4
value: 100
- layer_range: [0, 28]
model: bunnycore/Llama-3.2-3B-Mix
parameters:
weight: 0.5
density: 0.5
gamma: 0.01
normalize: true
int8_mask: true
random_seed: 0
temperature: 0.5
top_p: 0.65
inference: true
max_tokens: 999999999
stream: true
quantization:
- method: int8
value: 100
- method: int4
value: 100
- layer_range: [0, 28]
model: ValiantLabs/Llama3.2-3B-ShiningValiant2
parameters:
weight: 0.5
density: 0.5
gamma: 0.01
normalize: true
int8_mask: true
random_seed: 0
temperature: 0.5
top_p: 0.65
inference: true
max_tokens: 999999999
stream: true
quantization:
- method: int8
value: 100
- method: int4
value: 100
- layer_range: [0, 28]
model: TroyDoesAI/BlackSheep-Llama3.2-3B-Context_Obedient
parameters:
weight: 0.5
density: 0.5
gamma: 0.01
normalize: true
int8_mask: true
random_seed: 0
temperature: 0.5
top_p: 0.65
inference: true
max_tokens: 999999999
stream: true
quantization:
- method: int8
value: 100
- method: int4
value: 100
- layer_range: [0, 28]
model: BrainWave-ML/llama3.2-3B-codemath-orpo
parameters:
weight: 0.5
density: 0.5
gamma: 0.01
normalize: true
int8_mask: true
random_seed: 0
temperature: 0.5
top_p: 0.65
inference: true
max_tokens: 999999999
stream: true
quantization:
- method: int8
value: 100
- method: int4
value: 100
- layer_range: [0, 28]
model: CK0607/llama3.2-3B-CodeP
parameters:
weight: 0.5
density: 0.5
gamma: 0.01
normalize: true
int8_mask: true
random_seed: 0
temperature: 0.5
top_p: 0.65
inference: true
max_tokens: 999999999
stream: true
quantization:
- method: int8
value: 100
- method: int4
value: 100
- layer_range: [0, 28]
model: disi-unibo-nlp/llama3.2-3B-SFT-medqa-triples-cot
parameters:
weight: 0.5
density: 0.5
gamma: 0.01
normalize: true
int8_mask: true
random_seed: 0
temperature: 0.5
top_p: 0.65
inference: true
max_tokens: 999999999
stream: true
quantization:
- method: int8
value: 100
- method: int4
value: 100
- layer_range: [0, 28]
model: Isotonic/reasoning-llama3.2-3b
parameters:
weight: 0.5
density: 0.5
gamma: 0.01
normalize: true
int8_mask: true
random_seed: 0
temperature: 0.5
top_p: 0.65
inference: true
max_tokens: 999999999
stream: true
quantization:
- method: int8
value: 100
- method: int4
value: 100
- layer_range: [0, 28]
model: meta-llama/Llama-3.2-3B-Instruct
parameters:
weight: 0.5
density: 0.5
gamma: 0.01
normalize: true
int8_mask: true
random_seed: 0
temperature: 0.5
top_p: 0.65
inference: true
max_tokens: 999999999
stream: true
quantization:
- method: int8
value: 100
- method: int4
value: 100
- layer_range: [0, 28]
model: meta-llama/Llama-3.2-3B
parameters:
weight: 0.5
density: 0.5
gamma: 0.01
normalize: true
int8_mask: true
random_seed: 0
temperature: 0.5
top_p: 0.65
inference: true
max_tokens: 999999999
stream: true
quantization:
- method: int8
value: 100
- method: int4
value: 100
merge_method: linear
base_model: huihui-ai/Llama-3.2-3B-Instruct-abliterated
weight: 1
density: 0.9
gamma: 0.01
normalize: true
int8_mask: true
random_seed: 0
temperature: 0.5
top_p: 0.65
inference: true
max_tokens: 999999999
stream: true
quantization:
- method: int8
value: 100
- method: int4
value: 100
parameters:
weight: 1
density: 0.9
gamma: 0.01
normalize: true
int8_mask: true
random_seed: 0
temperature: 0.5
top_p: 0.65
inference: true
max_tokens: 999999999
stream: true
quantization:
- method: int8
value: 100
- method: int4
value: 100
dtype: float16
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