uploaded readme

README.md

@@ -0,0 +1,209 @@
+Quantization made by Richard Erkhov.
+
+[Github](https://github.com/RichardErkhov)
+
+[Discord](https://discord.gg/pvy7H8DZMG)
+
+[Request more models](https://github.com/RichardErkhov/quant_request)
+
+
+Llama-3-Yggdrasil-2.0-8B - GGUF
+- Model creator: https://huggingface.co/Locutusque/
+- Original model: https://huggingface.co/Locutusque/Llama-3-Yggdrasil-2.0-8B/
+
+
+| Name | Quant method | Size |
+| ---- | ---- | ---- |
+| [Llama-3-Yggdrasil-2.0-8B.Q2_K.gguf](https://huggingface.co/RichardErkhov/Locutusque_-_Llama-3-Yggdrasil-2.0-8B-gguf/blob/main/Llama-3-Yggdrasil-2.0-8B.Q2_K.gguf) | Q2_K | 2.96GB |
+| [Llama-3-Yggdrasil-2.0-8B.IQ3_XS.gguf](https://huggingface.co/RichardErkhov/Locutusque_-_Llama-3-Yggdrasil-2.0-8B-gguf/blob/main/Llama-3-Yggdrasil-2.0-8B.IQ3_XS.gguf) | IQ3_XS | 3.28GB |
+| [Llama-3-Yggdrasil-2.0-8B.IQ3_S.gguf](https://huggingface.co/RichardErkhov/Locutusque_-_Llama-3-Yggdrasil-2.0-8B-gguf/blob/main/Llama-3-Yggdrasil-2.0-8B.IQ3_S.gguf) | IQ3_S | 3.43GB |
+| [Llama-3-Yggdrasil-2.0-8B.Q3_K_S.gguf](https://huggingface.co/RichardErkhov/Locutusque_-_Llama-3-Yggdrasil-2.0-8B-gguf/blob/main/Llama-3-Yggdrasil-2.0-8B.Q3_K_S.gguf) | Q3_K_S | 3.41GB |
+| [Llama-3-Yggdrasil-2.0-8B.IQ3_M.gguf](https://huggingface.co/RichardErkhov/Locutusque_-_Llama-3-Yggdrasil-2.0-8B-gguf/blob/main/Llama-3-Yggdrasil-2.0-8B.IQ3_M.gguf) | IQ3_M | 3.52GB |
+| [Llama-3-Yggdrasil-2.0-8B.Q3_K.gguf](https://huggingface.co/RichardErkhov/Locutusque_-_Llama-3-Yggdrasil-2.0-8B-gguf/blob/main/Llama-3-Yggdrasil-2.0-8B.Q3_K.gguf) | Q3_K | 3.74GB |
+| [Llama-3-Yggdrasil-2.0-8B.Q3_K_M.gguf](https://huggingface.co/RichardErkhov/Locutusque_-_Llama-3-Yggdrasil-2.0-8B-gguf/blob/main/Llama-3-Yggdrasil-2.0-8B.Q3_K_M.gguf) | Q3_K_M | 3.74GB |
+| [Llama-3-Yggdrasil-2.0-8B.Q3_K_L.gguf](https://huggingface.co/RichardErkhov/Locutusque_-_Llama-3-Yggdrasil-2.0-8B-gguf/blob/main/Llama-3-Yggdrasil-2.0-8B.Q3_K_L.gguf) | Q3_K_L | 4.03GB |
+| [Llama-3-Yggdrasil-2.0-8B.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/Locutusque_-_Llama-3-Yggdrasil-2.0-8B-gguf/blob/main/Llama-3-Yggdrasil-2.0-8B.IQ4_XS.gguf) | IQ4_XS | 4.18GB |
+| [Llama-3-Yggdrasil-2.0-8B.Q4_0.gguf](https://huggingface.co/RichardErkhov/Locutusque_-_Llama-3-Yggdrasil-2.0-8B-gguf/blob/main/Llama-3-Yggdrasil-2.0-8B.Q4_0.gguf) | Q4_0 | 4.34GB |
+| [Llama-3-Yggdrasil-2.0-8B.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/Locutusque_-_Llama-3-Yggdrasil-2.0-8B-gguf/blob/main/Llama-3-Yggdrasil-2.0-8B.IQ4_NL.gguf) | IQ4_NL | 4.38GB |
+| [Llama-3-Yggdrasil-2.0-8B.Q4_K_S.gguf](https://huggingface.co/RichardErkhov/Locutusque_-_Llama-3-Yggdrasil-2.0-8B-gguf/blob/main/Llama-3-Yggdrasil-2.0-8B.Q4_K_S.gguf) | Q4_K_S | 4.37GB |
+| [Llama-3-Yggdrasil-2.0-8B.Q4_K.gguf](https://huggingface.co/RichardErkhov/Locutusque_-_Llama-3-Yggdrasil-2.0-8B-gguf/blob/main/Llama-3-Yggdrasil-2.0-8B.Q4_K.gguf) | Q4_K | 4.58GB |
+| [Llama-3-Yggdrasil-2.0-8B.Q4_K_M.gguf](https://huggingface.co/RichardErkhov/Locutusque_-_Llama-3-Yggdrasil-2.0-8B-gguf/blob/main/Llama-3-Yggdrasil-2.0-8B.Q4_K_M.gguf) | Q4_K_M | 4.58GB |
+| [Llama-3-Yggdrasil-2.0-8B.Q4_1.gguf](https://huggingface.co/RichardErkhov/Locutusque_-_Llama-3-Yggdrasil-2.0-8B-gguf/blob/main/Llama-3-Yggdrasil-2.0-8B.Q4_1.gguf) | Q4_1 | 4.78GB |
+| [Llama-3-Yggdrasil-2.0-8B.Q5_0.gguf](https://huggingface.co/RichardErkhov/Locutusque_-_Llama-3-Yggdrasil-2.0-8B-gguf/blob/main/Llama-3-Yggdrasil-2.0-8B.Q5_0.gguf) | Q5_0 | 5.21GB |
+| [Llama-3-Yggdrasil-2.0-8B.Q5_K_S.gguf](https://huggingface.co/RichardErkhov/Locutusque_-_Llama-3-Yggdrasil-2.0-8B-gguf/blob/main/Llama-3-Yggdrasil-2.0-8B.Q5_K_S.gguf) | Q5_K_S | 5.21GB |
+| [Llama-3-Yggdrasil-2.0-8B.Q5_K.gguf](https://huggingface.co/RichardErkhov/Locutusque_-_Llama-3-Yggdrasil-2.0-8B-gguf/blob/main/Llama-3-Yggdrasil-2.0-8B.Q5_K.gguf) | Q5_K | 5.34GB |
+| [Llama-3-Yggdrasil-2.0-8B.Q5_K_M.gguf](https://huggingface.co/RichardErkhov/Locutusque_-_Llama-3-Yggdrasil-2.0-8B-gguf/blob/main/Llama-3-Yggdrasil-2.0-8B.Q5_K_M.gguf) | Q5_K_M | 5.34GB |
+| [Llama-3-Yggdrasil-2.0-8B.Q5_1.gguf](https://huggingface.co/RichardErkhov/Locutusque_-_Llama-3-Yggdrasil-2.0-8B-gguf/blob/main/Llama-3-Yggdrasil-2.0-8B.Q5_1.gguf) | Q5_1 | 5.65GB |
+| [Llama-3-Yggdrasil-2.0-8B.Q6_K.gguf](https://huggingface.co/RichardErkhov/Locutusque_-_Llama-3-Yggdrasil-2.0-8B-gguf/blob/main/Llama-3-Yggdrasil-2.0-8B.Q6_K.gguf) | Q6_K | 6.14GB |
+| [Llama-3-Yggdrasil-2.0-8B.Q8_0.gguf](https://huggingface.co/RichardErkhov/Locutusque_-_Llama-3-Yggdrasil-2.0-8B-gguf/blob/main/Llama-3-Yggdrasil-2.0-8B.Q8_0.gguf) | Q8_0 | 7.95GB |
+
+
+
+
+Original model description:
+---
+library_name: transformers
+tags:
+- mergekit
+- merge
+base_model:
+- Locutusque/Llama-3-NeuralHercules-5.0-8B
+- NousResearch/Meta-Llama-3-8B
+- NousResearch/Hermes-2-Theta-Llama-3-8B
+- Locutusque/llama-3-neural-chat-v2.2-8b
+model-index:
+- name: Llama-3-Yggdrasil-2.0-8B
+  results:
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: IFEval (0-Shot)
+      type: HuggingFaceH4/ifeval
+      args:
+        num_few_shot: 0
+    metrics:
+    - type: inst_level_strict_acc and prompt_level_strict_acc
+      value: 53.71
+      name: strict accuracy
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Locutusque/Llama-3-Yggdrasil-2.0-8B
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: BBH (3-Shot)
+      type: BBH
+      args:
+        num_few_shot: 3
+    metrics:
+    - type: acc_norm
+      value: 26.92
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Locutusque/Llama-3-Yggdrasil-2.0-8B
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: MATH Lvl 5 (4-Shot)
+      type: hendrycks/competition_math
+      args:
+        num_few_shot: 4
+    metrics:
+    - type: exact_match
+      value: 6.87
+      name: exact match
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Locutusque/Llama-3-Yggdrasil-2.0-8B
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: GPQA (0-shot)
+      type: Idavidrein/gpqa
+      args:
+        num_few_shot: 0
+    metrics:
+    - type: acc_norm
+      value: 1.68
+      name: acc_norm
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Locutusque/Llama-3-Yggdrasil-2.0-8B
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: MuSR (0-shot)
+      type: TAUR-Lab/MuSR
+      args:
+        num_few_shot: 0
+    metrics:
+    - type: acc_norm
+      value: 8.07
+      name: acc_norm
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Locutusque/Llama-3-Yggdrasil-2.0-8B
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: MMLU-PRO (5-shot)
+      type: TIGER-Lab/MMLU-Pro
+      config: main
+      split: test
+      args:
+        num_few_shot: 5
+    metrics:
+    - type: acc
+      value: 24.07
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Locutusque/Llama-3-Yggdrasil-2.0-8B
+      name: Open LLM Leaderboard
+---
+# 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 [DARE](https://arxiv.org/abs/2311.03099) [TIES](https://arxiv.org/abs/2306.01708) merge method using [NousResearch/Meta-Llama-3-8B](https://huggingface.co/NousResearch/Meta-Llama-3-8B) as a base.
+
+### Models Merged
+
+The following models were included in the merge:
+* [Locutusque/Llama-3-NeuralHercules-5.0-8B](https://huggingface.co/Locutusque/Llama-3-NeuralHercules-5.0-8B)
+* [NousResearch/Hermes-2-Theta-Llama-3-8B](https://huggingface.co/NousResearch/Hermes-2-Theta-Llama-3-8B)
+* [Locutusque/llama-3-neural-chat-v2.2-8b](https://huggingface.co/Locutusque/llama-3-neural-chat-v2.2-8b)
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+models:
+  - model: NousResearch/Meta-Llama-3-8B
+    # No parameters necessary for base model
+  - model: NousResearch/Hermes-2-Theta-Llama-3-8B
+    parameters:
+      density: 0.6
+      weight: 0.55
+  - model: Locutusque/llama-3-neural-chat-v2.2-8b
+    parameters:
+      density: 0.55
+      weight: 0.4
+  - model: Locutusque/Llama-3-NeuralHercules-5.0-8B
+    parameters:
+      density: 0.65
+      weight: 0.6
+    
+merge_method: dare_ties
+base_model: NousResearch/Meta-Llama-3-8B
+parameters:
+  int8_mask: true
+dtype: bfloat16
+
+```
+
+# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard)
+Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_Locutusque__Llama-3-Yggdrasil-2.0-8B)
+
+|      Metric       |Value|
+|-------------------|----:|
+|Avg.               |20.22|
+|IFEval (0-Shot)    |53.71|
+|BBH (3-Shot)       |26.92|
+|MATH Lvl 5 (4-Shot)| 6.87|
+|GPQA (0-shot)      | 1.68|
+|MuSR (0-shot)      | 8.07|
+|MMLU-PRO (5-shot)  |24.07|
+
+
+