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README.md

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+---
+license: apache-2.0
+tags:
+- moe
+- frankenmoe
+- merge
+- mergekit
+- lazymergekit
+- mlabonne/NeuralBeagle14-7B
+- timpal0l/Mistral-7B-v0.1-flashback-v2
+- Nexusflow/Starling-LM-7B-beta
+- AI-Sweden-Models/tyr
+base_model:
+- mlabonne/NeuralBeagle14-7B
+- timpal0l/Mistral-7B-v0.1-flashback-v2
+- Nexusflow/Starling-LM-7B-beta
+- AI-Sweden-Models/tyr
+---
+
+# MoEnsterBeagle
+
+MoEnsterBeagle is a Mixture of Experts (MoE) made with the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
+* [mlabonne/NeuralBeagle14-7B](https://huggingface.co/mlabonne/NeuralBeagle14-7B)
+* [timpal0l/Mistral-7B-v0.1-flashback-v2](https://huggingface.co/timpal0l/Mistral-7B-v0.1-flashback-v2)
+* [Nexusflow/Starling-LM-7B-beta](https://huggingface.co/Nexusflow/Starling-LM-7B-beta)
+* [AI-Sweden-Models/tyr](https://huggingface.co/AI-Sweden-Models/tyr)
+
+## 🧩 Configuration
+
+```yaml
+base_model: mlabonne/NeuralBeagle14-7B
+gate_mode: cheap_embed
+experts:
+  - source_model: mlabonne/NeuralBeagle14-7B
+    positive_prompts:
+    - "chat"
+    - "assistant"
+    - "explain"
+    - "tell me"
+    - "english"
+  - source_model: timpal0l/Mistral-7B-v0.1-flashback-v2
+    positive_prompts:
+    - "förklara"
+    - "sammanfatta"
+    - "svenska"
+  - source_model: Nexusflow/Starling-LM-7B-beta
+    positive_prompts: 
+    - "code"
+    - "programming"
+    - "algorithm"
+  - source_model: AI-Sweden-Models/tyr
+    positive_prompts: 
+    - "varför"
+    - "förenkla"
+    - "lagen"
+```
+
+## 💻 Usage
+
+```python
+!pip install -qU transformers bitsandbytes accelerate
+
+from transformers import AutoTokenizer
+import transformers
+import torch
+
+model = "FredrikBL/MoEnsterBeagle"
+
+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"])
+```

config.json

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+{
+  "_name_or_path": "mlabonne/NeuralBeagle14-7B",
+  "architectures": [
+    "MixtralForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 14336,
+  "max_position_embeddings": 32768,
+  "model_type": "mixtral",
+  "num_attention_heads": 32,
+  "num_experts_per_tok": 2,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 8,
+  "num_local_experts": 4,
+  "output_router_logits": false,
+  "rms_norm_eps": 1e-05,
+  "rope_theta": 10000.0,
+  "router_aux_loss_coef": 0.001,
+  "router_jitter_noise": 0.0,
+  "sliding_window": null,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float16",
+  "transformers_version": "4.41.0",
+  "use_cache": false,
+  "vocab_size": 32000
+}

mergekit_moe_config.yml

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+
+base_model: mlabonne/NeuralBeagle14-7B
+gate_mode: cheap_embed
+experts:
+  - source_model: mlabonne/NeuralBeagle14-7B
+    positive_prompts:
+    - "chat"
+    - "assistant"
+    - "explain"
+    - "tell me"
+    - "english"
+  - source_model: timpal0l/Mistral-7B-v0.1-flashback-v2
+    positive_prompts:
+    - "förklara"
+    - "sammanfatta"
+    - "svenska"
+  - source_model: Nexusflow/Starling-LM-7B-beta
+    positive_prompts: 
+    - "code"
+    - "programming"
+    - "algorithm"
+  - source_model: AI-Sweden-Models/tyr
+    positive_prompts: 
+    - "varför"
+    - "förenkla"
+    - "lagen"

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