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README.md

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 ---
-{}
+license: apache-2.0
+tags:
+- moe
+- mergekit
+- merge
+- chinese
+- arabic
+- english
+- multilingual
+- german
+- french
+- openchat/openchat-3.5-1210
+- beowolx/CodeNinja-1.0-OpenChat-7B
+- maywell/PiVoT-0.1-Starling-LM-RP
+- WizardLM/WizardMath-7B-V1.1
+- davidkim205/komt-mistral-7b-v1
+- OpenBuddy/openbuddy-zephyr-7b-v14.1
+- manishiitg/open-aditi-hi-v1
+- VAGOsolutions/SauerkrautLM-7b-v1-mistral
 ---
----
-    license: apache-2.0
-    tags:
-    - moe
-    - mergekit
-    - merge
-    - gagan3012/MetaModel
-    - jeonsworld/CarbonVillain-en-10.7B-v2
-    - jeonsworld/CarbonVillain-en-10.7B-v4
-    - TomGrc/FusionNet_linear
-    ---
-
-    # MetaModel_moe_multilingualv1
-
-    This model is a Mixure of Experts (MoE) made with [mergekit](https://github.com/cg123/mergekit) (mixtral branch). It uses the following base models:
-    * [gagan3012/MetaModel](https://huggingface.co/gagan3012/MetaModel)
-    * [jeonsworld/CarbonVillain-en-10.7B-v2](https://huggingface.co/jeonsworld/CarbonVillain-en-10.7B-v2)
-    * [jeonsworld/CarbonVillain-en-10.7B-v4](https://huggingface.co/jeonsworld/CarbonVillain-en-10.7B-v4)
-    * [TomGrc/FusionNet_linear](https://huggingface.co/TomGrc/FusionNet_linear)
-
-    ## 🧩 Configuration
-
-    ```yaml
-base_model: gagan3012/MetaModel
-gate_mode: hidden
+
+# MetaModel_moe_multilingualv1
+
+This model is a Mixure of Experts (MoE) made with [mergekit](https://github.com/cg123/mergekit) (mixtral branch). It uses the following base models:
+* [openchat/openchat-3.5-1210](https://huggingface.co/openchat/openchat-3.5-1210)
+* [beowolx/CodeNinja-1.0-OpenChat-7B](https://huggingface.co/beowolx/CodeNinja-1.0-OpenChat-7B)
+* [maywell/PiVoT-0.1-Starling-LM-RP](https://huggingface.co/maywell/PiVoT-0.1-Starling-LM-RP)
+* [WizardLM/WizardMath-7B-V1.1](https://huggingface.co/WizardLM/WizardMath-7B-V1.1)
+* [davidkim205/komt-mistral-7b-v1](https://huggingface.co/davidkim205/komt-mistral-7b-v1)
+* [OpenBuddy/openbuddy-zephyr-7b-v14.1](https://huggingface.co/OpenBuddy/openbuddy-zephyr-7b-v14.1)
+* [manishiitg/open-aditi-hi-v1](https://huggingface.co/manishiitg/open-aditi-hi-v1)
+* [VAGOsolutions/SauerkrautLM-7b-v1-mistral](https://huggingface.co/VAGOsolutions/SauerkrautLM-7b-v1-mistral)
+
+## 🧩 Configuration
+
+```yaml
+base_model: mlabonne/Marcoro14-7B-slerp
 dtype: bfloat16
 experts:
-  - source_model: gagan3012/MetaModel
-  - source_model: jeonsworld/CarbonVillain-en-10.7B-v2
-  - source_model: jeonsworld/CarbonVillain-en-10.7B-v4
-  - source_model: TomGrc/FusionNet_linear
-    ```
-
-    ## 💻 Usage
-
-    ```python
-    !pip install -qU transformers bitsandbytes accelerate
-
-    from transformers import AutoTokenizer
-    import transformers
-    import torch
-
-    model = "gagan3012/MetaModel_moe_multilingualv1"
-
-    tokenizer = AutoTokenizer.from_pretrained(model)
-    pipeline = transformers.pipeline(
-        "text-generation",
-        model=model,
-        model_kwargs={"torch_dtype": torch.float16, "load_in_4bit": True},
-    )
-
-    messages = [{"role": "user", "content": "Explain what a Mixture of Experts is in less than 100 words."}]
-    prompt = pipeline.tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
-    outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
-    print(outputs[0]["generated_text"])
-    ```
+- positive_prompts:
+  - chat
+  - assistant
+  - tell me
+  - explain
+  source_model: openchat/openchat-3.5-1210
+- positive_prompts:
+  - code
+  - python
+  - javascript
+  - programming
+  - algorithm
+  source_model: beowolx/CodeNinja-1.0-OpenChat-7B
+- positive_prompts:
+  - storywriting
+  - write
+  - scene
+  - story
+  - character
+  source_model: maywell/PiVoT-0.1-Starling-LM-RP
+- positive_prompts:
+  - reason
+  - math
+  - mathematics
+  - solve
+  - count
+  source_model: WizardLM/WizardMath-7B-V1.1
+- positive_prompts:
+  - korean
+  - answer in korean
+  - korea
+  source_model: davidkim205/komt-mistral-7b-v1
+- positive_prompts:
+  - chinese
+  - china
+  - answer in chinese
+  source_model: OpenBuddy/openbuddy-zephyr-7b-v14.1
+- positive_prompts:
+  - hindi
+  - india
+  - hindu
+  - answer in hindi
+  source_model: manishiitg/open-aditi-hi-v1
+- positive_prompts:
+  - german
+  - germany
+  - answer in german
+  - deutsch
+  source_model: VAGOsolutions/SauerkrautLM-7b-v1-mistral
+gate_mode: hidden
+```
+
+## 💻 Usage
+
+```python
+!pip install -qU transformers bitsandbytes accelerate
+
+from transformers import AutoTokenizer
+import transformers
+import torch
+
+model = "gagan3012/MetaModel_moe_multilingualv1"
+
+tokenizer = AutoTokenizer.from_pretrained(model)
+pipeline = transformers.pipeline(
+    "text-generation",
+    model=model,
+    model_kwargs={"torch_dtype": torch.float16, "load_in_4bit": True},
+)
+
+messages = [{"role": "user", "content": "Explain what a Mixture of Experts is in less than 100 words."}]
+prompt = pipeline.tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
+outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
+print(outputs[0]["generated_text"])
+```

mergekit_moe_config.yml

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+base_model: mlabonne/Marcoro14-7B-slerp
+gate_mode: hidden
+dtype: bfloat16
+experts:
+  - source_model: openchat/openchat-3.5-1210
+    positive_prompts:
+    - "chat"
+    - "assistant"
+    - "tell me"
+    - "explain"
+  - source_model: beowolx/CodeNinja-1.0-OpenChat-7B
+    positive_prompts:
+    - "code"
+    - "python"
+    - "javascript"
+    - "programming"
+    - "algorithm"
+  - source_model: maywell/PiVoT-0.1-Starling-LM-RP
+    positive_prompts:
+    - "storywriting"
+    - "write"
+    - "scene"
+    - "story"
+    - "character"
+  - source_model: WizardLM/WizardMath-7B-V1.1
+    positive_prompts:
+    - "reason"
+    - "math"
+    - "mathematics"
+    - "solve"
+    - "count"
+  - source_model: davidkim205/komt-mistral-7b-v1
+    positive_prompts:
+    - "korean"
+    - "answer in korean"
+    - "korea"
+  - source_model: OpenBuddy/openbuddy-zephyr-7b-v14.1
+    positive_prompts:
+    - "chinese"
+    - "china"
+    - "answer in chinese"
+  - source_model: manishiitg/open-aditi-hi-v1
+    positive_prompts:
+    - "hindi"
+    - "india"
+    - "hindu"
+    - "answer in hindi"
+  - source_model: VAGOsolutions/SauerkrautLM-7b-v1-mistral
+    positive_prompts:
+    - "german"
+    - "germany"
+    - "answer in german"
+    - "deutsch"

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special_tokens_map.json

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+}

tokenizer.model

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+size 493443

tokenizer_config.json

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+}