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@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+tokenizer.json filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,893 @@
+---
+base_model:
+- 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
+- huihui-ai/Llama-3.2-3B-Instruct-abliterated
+- 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
+library_name: transformers
+tags:
+- mergekit
+- merge
+
+---
+# merge
+
+This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
+
+## Merge Details
+### Merge Method
+
+This model was merged using the [linear](https://arxiv.org/abs/2203.05482) merge method using [huihui-ai/Llama-3.2-3B-Instruct-abliterated](https://huggingface.co/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](https://huggingface.co/Hjgugugjhuhjggg/mergekit-ties-qgcitfu)
+* [ValiantLabs/Llama3.2-3B-ShiningValiant2](https://huggingface.co/ValiantLabs/Llama3.2-3B-ShiningValiant2)
+* [CarrotAI/Llama-3.2-Rabbit-Ko-3B-Instruct](https://huggingface.co/CarrotAI/Llama-3.2-Rabbit-Ko-3B-Instruct)
+* [Atharva26/llama-3.2-3b-mathdaily-chatbot](https://huggingface.co/Atharva26/llama-3.2-3b-mathdaily-chatbot)
+* [bunnycore/Llama-3.2-3B-ProdigyPlusPlus](https://huggingface.co/bunnycore/Llama-3.2-3B-ProdigyPlusPlus)
+* [disi-unibo-nlp/llama3.2-3B-SFT-medqa-triples-cot](https://huggingface.co/disi-unibo-nlp/llama3.2-3B-SFT-medqa-triples-cot)
+* [Hjgugugjhuhjggg/mergekit-ties-poovzrh](https://huggingface.co/Hjgugugjhuhjggg/mergekit-ties-poovzrh)
+* [bunnycore/Llama-3.2-3B-Long-Think](https://huggingface.co/bunnycore/Llama-3.2-3B-Long-Think)
+* [noaebbot/llama3.2-3B-insights](https://huggingface.co/noaebbot/llama3.2-3B-insights)
+* [ValiantLabs/Llama3.2-3B-Enigma](https://huggingface.co/ValiantLabs/Llama3.2-3B-Enigma)
+* [meta-llama/Llama-3.2-3B-Instruct](https://huggingface.co/meta-llama/Llama-3.2-3B-Instruct)
+* [Hjgugugjhuhjggg/mergekit-ties-pghuyfi](https://huggingface.co/Hjgugugjhuhjggg/mergekit-ties-pghuyfi)
+* [Diluksha/Llama_3.2_3B_sql_finetuned_full](https://huggingface.co/Diluksha/Llama_3.2_3B_sql_finetuned_full)
+* [bunnycore/Llama-3.2-3B-Mix](https://huggingface.co/bunnycore/Llama-3.2-3B-Mix)
+* [Hjgugugjhuhjggg/mergekit-ties-xflmond](https://huggingface.co/Hjgugugjhuhjggg/mergekit-ties-xflmond)
+* [bunnycore/Llama-3.2-3B-Pure-RP](https://huggingface.co/bunnycore/Llama-3.2-3B-Pure-RP)
+* [chuanli11/Llama-3.2-3B-Instruct-uncensored](https://huggingface.co/chuanli11/Llama-3.2-3B-Instruct-uncensored)
+* [EmTpro01/llama-3.2-Code-Generator](https://huggingface.co/EmTpro01/llama-3.2-Code-Generator)
+* [bunnycore/Llama-3.2-3B-Booval](https://huggingface.co/bunnycore/Llama-3.2-3B-Booval)
+* [bunnycore/Llama-3.2-3B-Prodigy](https://huggingface.co/bunnycore/Llama-3.2-3B-Prodigy)
+* [BrainWave-ML/llama3.2-3B-codemath-orpo](https://huggingface.co/BrainWave-ML/llama3.2-3B-codemath-orpo)
+* [bunnycore/Llama-3.2-3B-TitanFusion](https://huggingface.co/bunnycore/Llama-3.2-3B-TitanFusion)
+* [bunnycore/Llama-3.2-3B-CodeReactor](https://huggingface.co/bunnycore/Llama-3.2-3B-CodeReactor)
+* [Hjgugugjhuhjggg/mergekit-ties-kmlzhzo](https://huggingface.co/Hjgugugjhuhjggg/mergekit-ties-kmlzhzo)
+* [Hjgugugjhuhjggg/mergekit-ties-esawwda](https://huggingface.co/Hjgugugjhuhjggg/mergekit-ties-esawwda)
+* [bunnycore/Llama-3.2-3B-TitanFusion-v2](https://huggingface.co/bunnycore/Llama-3.2-3B-TitanFusion-v2)
+* [disi-unibo-nlp/llama3.2-3B-SFT-medmcqa-triples-cot](https://huggingface.co/disi-unibo-nlp/llama3.2-3B-SFT-medmcqa-triples-cot)
+* [bunnycore/Llama-3.2-3B-Mix-Skill](https://huggingface.co/bunnycore/Llama-3.2-3B-Mix-Skill)
+* [bunnycore/Llama-3.2-3B-Sci-Think](https://huggingface.co/bunnycore/Llama-3.2-3B-Sci-Think)
+* [AELLM/Llama-3.2-Chibi-3B](https://huggingface.co/AELLM/Llama-3.2-Chibi-3B)
+* [AcademieDuNumerique/Llama-3.2-3B-SQL-Instruct](https://huggingface.co/AcademieDuNumerique/Llama-3.2-3B-SQL-Instruct)
+* [roger33303/Best_Model-llama3.2-3b-Instruct-Finetune-website-QnA](https://huggingface.co/roger33303/Best_Model-llama3.2-3b-Instruct-Finetune-website-QnA)
+* [Hjgugugjhuhjggg/mergekit-ties-dkhnzcn](https://huggingface.co/Hjgugugjhuhjggg/mergekit-ties-dkhnzcn)
+* [Isotonic/reasoning-llama3.2-3b](https://huggingface.co/Isotonic/reasoning-llama3.2-3b)
+* [meta-llama/Llama-3.2-3B](https://huggingface.co/meta-llama/Llama-3.2-3B)
+* [bunnycore/Llama-3.2-3B-Apex](https://huggingface.co/bunnycore/Llama-3.2-3B-Apex)
+* [TroyDoesAI/BlackSheep-Llama3.2-3B-Context_Obedient](https://huggingface.co/TroyDoesAI/BlackSheep-Llama3.2-3B-Context_Obedient)
+* [CK0607/llama3.2-3B-CodeP](https://huggingface.co/CK0607/llama3.2-3B-CodeP)
+* [bunnycore/Llama-3.2-3B-Stock](https://huggingface.co/bunnycore/Llama-3.2-3B-Stock)
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+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
+```

config.json

@@ -0,0 +1,40 @@
+{
+  "_name_or_path": "huihui-ai/Llama-3.2-3B-Instruct-abliterated",
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 128000,
+  "eos_token_id": [
+    128001,
+    128008,
+    128009
+  ],
+  "head_dim": 128,
+  "hidden_act": "silu",
+  "hidden_size": 3072,
+  "initializer_range": 0.02,
+  "intermediate_size": 8192,
+  "max_position_embeddings": 131072,
+  "mlp_bias": false,
+  "model_type": "llama",
+  "num_attention_heads": 24,
+  "num_hidden_layers": 28,
+  "num_key_value_heads": 8,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": {
+    "factor": 32.0,
+    "high_freq_factor": 4.0,
+    "low_freq_factor": 1.0,
+    "original_max_position_embeddings": 8192,
+    "rope_type": "llama3"
+  },
+  "rope_theta": 500000.0,
+  "tie_word_embeddings": true,
+  "torch_dtype": "float16",
+  "transformers_version": "4.46.3",
+  "use_cache": true,
+  "vocab_size": 128256
+}

mergekit_config.yml

@@ -0,0 +1,787 @@
+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
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+      "special": true
+    },
+    "128239": {
+      "content": "<|reserved_special_token_231|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128240": {
+      "content": "<|reserved_special_token_232|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128241": {
+      "content": "<|reserved_special_token_233|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128242": {
+      "content": "<|reserved_special_token_234|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128243": {
+      "content": "<|reserved_special_token_235|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128244": {
+      "content": "<|reserved_special_token_236|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128245": {
+      "content": "<|reserved_special_token_237|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128246": {
+      "content": "<|reserved_special_token_238|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128247": {
+      "content": "<|reserved_special_token_239|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128248": {
+      "content": "<|reserved_special_token_240|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128249": {
+      "content": "<|reserved_special_token_241|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128250": {
+      "content": "<|reserved_special_token_242|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128251": {
+      "content": "<|reserved_special_token_243|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128252": {
+      "content": "<|reserved_special_token_244|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128253": {
+      "content": "<|reserved_special_token_245|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128254": {
+      "content": "<|reserved_special_token_246|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128255": {
+      "content": "<|reserved_special_token_247|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "bos_token": "<|begin_of_text|>",
+  "chat_template": "{{- bos_token }}\n{%- if custom_tools is defined %}\n    {%- set tools = custom_tools %}\n{%- endif %}\n{%- if not tools_in_user_message is defined %}\n    {%- set tools_in_user_message = true %}\n{%- endif %}\n{%- if not date_string is defined %}\n    {%- if strftime_now is defined %}\n        {%- set date_string = strftime_now(\"%d %b %Y\") %}\n    {%- else %}\n        {%- set date_string = \"26 Jul 2024\" %}\n    {%- endif %}\n{%- endif %}\n{%- if not tools is defined %}\n    {%- set tools = none %}\n{%- endif %}\n\n{#- This block extracts the system message, so we can slot it into the right place. #}\n{%- if messages[0]['role'] == 'system' %}\n    {%- set system_message = messages[0]['content']|trim %}\n    {%- set messages = messages[1:] %}\n{%- else %}\n    {%- set system_message = \"\" %}\n{%- endif %}\n\n{#- System message #}\n{{- \"<|start_header_id|>system<|end_header_id|>\\n\\n\" }}\n{%- if tools is not none %}\n    {{- \"Environment: ipython\\n\" }}\n{%- endif %}\n{{- \"Cutting Knowledge Date: December 2023\\n\" }}\n{{- \"Today Date: \" + date_string + \"\\n\\n\" }}\n{%- if tools is not none and not tools_in_user_message %}\n    {{- \"You have access to the following functions. To call a function, please respond with JSON for a function call.\" }}\n    {{- 'Respond in the format {\"name\": function name, \"parameters\": dictionary of argument name and its value}.' }}\n    {{- \"Do not use variables.\\n\\n\" }}\n    {%- for t in tools %}\n        {{- t | tojson(indent=4) }}\n        {{- \"\\n\\n\" }}\n    {%- endfor %}\n{%- endif %}\n{{- system_message }}\n{{- \"<|eot_id|>\" }}\n\n{#- Custom tools are passed in a user message with some extra guidance #}\n{%- if tools_in_user_message and not tools is none %}\n    {#- Extract the first user message so we can plug it in here #}\n    {%- if messages | length != 0 %}\n        {%- set first_user_message = messages[0]['content']|trim %}\n        {%- set messages = messages[1:] %}\n    {%- else %}\n        {{- raise_exception(\"Cannot put tools in the first user message when there's no first user message!\") }}\n{%- endif %}\n    {{- '<|start_header_id|>user<|end_header_id|>\\n\\n' -}}\n    {{- \"Given the following functions, please respond with a JSON for a function call \" }}\n    {{- \"with its proper arguments that best answers the given prompt.\\n\\n\" }}\n    {{- 'Respond in the format {\"name\": function name, \"parameters\": dictionary of argument name and its value}.' }}\n    {{- \"Do not use variables.\\n\\n\" }}\n    {%- for t in tools %}\n        {{- t | tojson(indent=4) }}\n        {{- \"\\n\\n\" }}\n    {%- endfor %}\n    {{- first_user_message + \"<|eot_id|>\"}}\n{%- endif %}\n\n{%- for message in messages %}\n    {%- if not (message.role == 'ipython' or message.role == 'tool' or 'tool_calls' in message) %}\n        {{- '<|start_header_id|>' + message['role'] + '<|end_header_id|>\\n\\n'+ message['content'] | trim + '<|eot_id|>' }}\n    {%- elif 'tool_calls' in message %}\n        {%- if not message.tool_calls|length == 1 %}\n            {{- raise_exception(\"This model only supports single tool-calls at once!\") }}\n        {%- endif %}\n        {%- set tool_call = message.tool_calls[0].function %}\n        {{- '<|start_header_id|>assistant<|end_header_id|>\\n\\n' -}}\n        {{- '{\"name\": \"' + tool_call.name + '\", ' }}\n        {{- '\"parameters\": ' }}\n        {{- tool_call.arguments | tojson }}\n        {{- \"}\" }}\n        {{- \"<|eot_id|>\" }}\n    {%- elif message.role == \"tool\" or message.role == \"ipython\" %}\n        {{- \"<|start_header_id|>ipython<|end_header_id|>\\n\\n\" }}\n        {%- if message.content is mapping or message.content is iterable %}\n            {{- message.content | tojson }}\n        {%- else %}\n            {{- message.content }}\n        {%- endif %}\n        {{- \"<|eot_id|>\" }}\n    {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n    {{- '<|start_header_id|>assistant<|end_header_id|>\\n\\n' }}\n{%- endif %}\n",
+  "clean_up_tokenization_spaces": true,
+  "eos_token": "<|eot_id|>",
+  "max_length": null,
+  "model_input_names": [
+    "input_ids",
+    "attention_mask"
+  ],
+  "model_max_length": 131072,
+  "pad_to_multiple_of": null,
+  "pad_token": "<|eot_id|>",
+  "pad_token_type_id": 0,
+  "padding_side": "left",
+  "tokenizer_class": "PreTrainedTokenizerFast"
+}