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README.md

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+Quantization made by Richard Erkhov.
+
+[Github](https://github.com/RichardErkhov)
+
+[Discord](https://discord.gg/pvy7H8DZMG)
+
+[Request more models](https://github.com/RichardErkhov/quant_request)
+
+
+DareBeagel-2x7B - GGUF
+- Model creator: https://huggingface.co/shadowml/
+- Original model: https://huggingface.co/shadowml/DareBeagel-2x7B/
+
+
+| Name | Quant method | Size |
+| ---- | ---- | ---- |
+| [DareBeagel-2x7B.Q2_K.gguf](https://huggingface.co/RichardErkhov/shadowml_-_DareBeagel-2x7B-gguf/blob/main/DareBeagel-2x7B.Q2_K.gguf) | Q2_K | 4.43GB |
+| [DareBeagel-2x7B.IQ3_XS.gguf](https://huggingface.co/RichardErkhov/shadowml_-_DareBeagel-2x7B-gguf/blob/main/DareBeagel-2x7B.IQ3_XS.gguf) | IQ3_XS | 4.94GB |
+| [DareBeagel-2x7B.IQ3_S.gguf](https://huggingface.co/RichardErkhov/shadowml_-_DareBeagel-2x7B-gguf/blob/main/DareBeagel-2x7B.IQ3_S.gguf) | IQ3_S | 5.22GB |
+| [DareBeagel-2x7B.Q3_K_S.gguf](https://huggingface.co/RichardErkhov/shadowml_-_DareBeagel-2x7B-gguf/blob/main/DareBeagel-2x7B.Q3_K_S.gguf) | Q3_K_S | 5.2GB |
+| [DareBeagel-2x7B.IQ3_M.gguf](https://huggingface.co/RichardErkhov/shadowml_-_DareBeagel-2x7B-gguf/blob/main/DareBeagel-2x7B.IQ3_M.gguf) | IQ3_M | 3.28GB |
+| [DareBeagel-2x7B.Q3_K.gguf](https://huggingface.co/RichardErkhov/shadowml_-_DareBeagel-2x7B-gguf/blob/main/DareBeagel-2x7B.Q3_K.gguf) | Q3_K | 5.78GB |
+| [DareBeagel-2x7B.Q3_K_M.gguf](https://huggingface.co/RichardErkhov/shadowml_-_DareBeagel-2x7B-gguf/blob/main/DareBeagel-2x7B.Q3_K_M.gguf) | Q3_K_M | 5.78GB |
+| [DareBeagel-2x7B.Q3_K_L.gguf](https://huggingface.co/RichardErkhov/shadowml_-_DareBeagel-2x7B-gguf/blob/main/DareBeagel-2x7B.Q3_K_L.gguf) | Q3_K_L | 6.27GB |
+| [DareBeagel-2x7B.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/shadowml_-_DareBeagel-2x7B-gguf/blob/main/DareBeagel-2x7B.IQ4_XS.gguf) | IQ4_XS | 2.32GB |
+| [DareBeagel-2x7B.Q4_0.gguf](https://huggingface.co/RichardErkhov/shadowml_-_DareBeagel-2x7B-gguf/blob/main/DareBeagel-2x7B.Q4_0.gguf) | Q4_0 | 6.78GB |
+| [DareBeagel-2x7B.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/shadowml_-_DareBeagel-2x7B-gguf/blob/main/DareBeagel-2x7B.IQ4_NL.gguf) | IQ4_NL | 6.85GB |
+| [DareBeagel-2x7B.Q4_K_S.gguf](https://huggingface.co/RichardErkhov/shadowml_-_DareBeagel-2x7B-gguf/blob/main/DareBeagel-2x7B.Q4_K_S.gguf) | Q4_K_S | 6.84GB |
+| [DareBeagel-2x7B.Q4_K.gguf](https://huggingface.co/RichardErkhov/shadowml_-_DareBeagel-2x7B-gguf/blob/main/DareBeagel-2x7B.Q4_K.gguf) | Q4_K | 7.25GB |
+| [DareBeagel-2x7B.Q4_K_M.gguf](https://huggingface.co/RichardErkhov/shadowml_-_DareBeagel-2x7B-gguf/blob/main/DareBeagel-2x7B.Q4_K_M.gguf) | Q4_K_M | 7.25GB |
+| [DareBeagel-2x7B.Q4_1.gguf](https://huggingface.co/RichardErkhov/shadowml_-_DareBeagel-2x7B-gguf/blob/main/DareBeagel-2x7B.Q4_1.gguf) | Q4_1 | 7.52GB |
+| [DareBeagel-2x7B.Q5_0.gguf](https://huggingface.co/RichardErkhov/shadowml_-_DareBeagel-2x7B-gguf/blob/main/DareBeagel-2x7B.Q5_0.gguf) | Q5_0 | 8.26GB |
+| [DareBeagel-2x7B.Q5_K_S.gguf](https://huggingface.co/RichardErkhov/shadowml_-_DareBeagel-2x7B-gguf/blob/main/DareBeagel-2x7B.Q5_K_S.gguf) | Q5_K_S | 8.26GB |
+| [DareBeagel-2x7B.Q5_K.gguf](https://huggingface.co/RichardErkhov/shadowml_-_DareBeagel-2x7B-gguf/blob/main/DareBeagel-2x7B.Q5_K.gguf) | Q5_K | 8.51GB |
+| [DareBeagel-2x7B.Q5_K_M.gguf](https://huggingface.co/RichardErkhov/shadowml_-_DareBeagel-2x7B-gguf/blob/main/DareBeagel-2x7B.Q5_K_M.gguf) | Q5_K_M | 8.51GB |
+| [DareBeagel-2x7B.Q5_1.gguf](https://huggingface.co/RichardErkhov/shadowml_-_DareBeagel-2x7B-gguf/blob/main/DareBeagel-2x7B.Q5_1.gguf) | Q5_1 | 9.01GB |
+| [DareBeagel-2x7B.Q6_K.gguf](https://huggingface.co/RichardErkhov/shadowml_-_DareBeagel-2x7B-gguf/blob/main/DareBeagel-2x7B.Q6_K.gguf) | Q6_K | 9.84GB |
+| [DareBeagel-2x7B.Q8_0.gguf](https://huggingface.co/RichardErkhov/shadowml_-_DareBeagel-2x7B-gguf/blob/main/DareBeagel-2x7B.Q8_0.gguf) | Q8_0 | 12.75GB |
+
+
+
+
+Original model description:
+---
+license: apache-2.0
+tags:
+- moe
+- merge
+- mergekit
+- lazymergekit
+- mlabonne/NeuralBeagle14-7B
+- mlabonne/NeuralDaredevil-7B
+model-index:
+- name: DareBeagel-2x7B
+  results:
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: AI2 Reasoning Challenge (25-Shot)
+      type: ai2_arc
+      config: ARC-Challenge
+      split: test
+      args:
+        num_few_shot: 25
+    metrics:
+    - type: acc_norm
+      value: 72.01
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=shadowml/DareBeagel-2x7B
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: HellaSwag (10-Shot)
+      type: hellaswag
+      split: validation
+      args:
+        num_few_shot: 10
+    metrics:
+    - type: acc_norm
+      value: 88.12
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=shadowml/DareBeagel-2x7B
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: MMLU (5-Shot)
+      type: cais/mmlu
+      config: all
+      split: test
+      args:
+        num_few_shot: 5
+    metrics:
+    - type: acc
+      value: 64.51
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=shadowml/DareBeagel-2x7B
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: TruthfulQA (0-shot)
+      type: truthful_qa
+      config: multiple_choice
+      split: validation
+      args:
+        num_few_shot: 0
+    metrics:
+    - type: mc2
+      value: 69.09
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=shadowml/DareBeagel-2x7B
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: Winogrande (5-shot)
+      type: winogrande
+      config: winogrande_xl
+      split: validation
+      args:
+        num_few_shot: 5
+    metrics:
+    - type: acc
+      value: 82.72
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=shadowml/DareBeagel-2x7B
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: GSM8k (5-shot)
+      type: gsm8k
+      config: main
+      split: test
+      args:
+        num_few_shot: 5
+    metrics:
+    - type: acc
+      value: 70.51
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=shadowml/DareBeagel-2x7B
+      name: Open LLM Leaderboard
+---
+
+# Beyonder-2x7B-v2
+
+Beyonder-2x7B-v2 is a Mixure 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)
+* [mlabonne/NeuralDaredevil-7B](https://huggingface.co/mlabonne/NeuralDaredevil-7B)
+
+## 🧩 Configuration
+
+```yaml
+base_model: mlabonne/NeuralBeagle14-7B
+gate_mode: random
+experts:
+  - source_model: mlabonne/NeuralBeagle14-7B
+    positive_prompts: [""]
+  - source_model: mlabonne/NeuralDaredevil-7B
+    positive_prompts: [""]
+```
+
+## 💻 Usage
+
+```python
+!pip install -qU transformers bitsandbytes accelerate
+
+from transformers import AutoTokenizer
+import transformers
+import torch
+
+model = "shadowml/Beyonder-2x7B-v2"
+
+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"])
+```
+# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
+Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_shadowml__DareBeagel-2x7B)
+
+|             Metric              |Value|
+|---------------------------------|----:|
+|Avg.                             |74.49|
+|AI2 Reasoning Challenge (25-Shot)|72.01|
+|HellaSwag (10-Shot)              |88.12|
+|MMLU (5-Shot)                    |64.51|
+|TruthfulQA (0-shot)              |69.09|
+|Winogrande (5-shot)              |82.72|
+|GSM8k (5-shot)                   |70.51|
+
+
+