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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)
+
+
+SOLAR-tail-10.7B-Merge-v1.0 - GGUF
+- Model creator: https://huggingface.co/PracticeLLM/
+- Original model: https://huggingface.co/PracticeLLM/SOLAR-tail-10.7B-Merge-v1.0/
+
+
+| Name | Quant method | Size |
+| ---- | ---- | ---- |
+| [SOLAR-tail-10.7B-Merge-v1.0.Q2_K.gguf](https://huggingface.co/RichardErkhov/PracticeLLM_-_SOLAR-tail-10.7B-Merge-v1.0-gguf/blob/main/SOLAR-tail-10.7B-Merge-v1.0.Q2_K.gguf) | Q2_K | 3.73GB |
+| [SOLAR-tail-10.7B-Merge-v1.0.IQ3_XS.gguf](https://huggingface.co/RichardErkhov/PracticeLLM_-_SOLAR-tail-10.7B-Merge-v1.0-gguf/blob/main/SOLAR-tail-10.7B-Merge-v1.0.IQ3_XS.gguf) | IQ3_XS | 4.14GB |
+| [SOLAR-tail-10.7B-Merge-v1.0.IQ3_S.gguf](https://huggingface.co/RichardErkhov/PracticeLLM_-_SOLAR-tail-10.7B-Merge-v1.0-gguf/blob/main/SOLAR-tail-10.7B-Merge-v1.0.IQ3_S.gguf) | IQ3_S | 4.37GB |
+| [SOLAR-tail-10.7B-Merge-v1.0.Q3_K_S.gguf](https://huggingface.co/RichardErkhov/PracticeLLM_-_SOLAR-tail-10.7B-Merge-v1.0-gguf/blob/main/SOLAR-tail-10.7B-Merge-v1.0.Q3_K_S.gguf) | Q3_K_S | 4.34GB |
+| [SOLAR-tail-10.7B-Merge-v1.0.IQ3_M.gguf](https://huggingface.co/RichardErkhov/PracticeLLM_-_SOLAR-tail-10.7B-Merge-v1.0-gguf/blob/main/SOLAR-tail-10.7B-Merge-v1.0.IQ3_M.gguf) | IQ3_M | 4.51GB |
+| [SOLAR-tail-10.7B-Merge-v1.0.Q3_K.gguf](https://huggingface.co/RichardErkhov/PracticeLLM_-_SOLAR-tail-10.7B-Merge-v1.0-gguf/blob/main/SOLAR-tail-10.7B-Merge-v1.0.Q3_K.gguf) | Q3_K | 4.84GB |
+| [SOLAR-tail-10.7B-Merge-v1.0.Q3_K_M.gguf](https://huggingface.co/RichardErkhov/PracticeLLM_-_SOLAR-tail-10.7B-Merge-v1.0-gguf/blob/main/SOLAR-tail-10.7B-Merge-v1.0.Q3_K_M.gguf) | Q3_K_M | 4.84GB |
+| [SOLAR-tail-10.7B-Merge-v1.0.Q3_K_L.gguf](https://huggingface.co/RichardErkhov/PracticeLLM_-_SOLAR-tail-10.7B-Merge-v1.0-gguf/blob/main/SOLAR-tail-10.7B-Merge-v1.0.Q3_K_L.gguf) | Q3_K_L | 5.26GB |
+| [SOLAR-tail-10.7B-Merge-v1.0.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/PracticeLLM_-_SOLAR-tail-10.7B-Merge-v1.0-gguf/blob/main/SOLAR-tail-10.7B-Merge-v1.0.IQ4_XS.gguf) | IQ4_XS | 5.43GB |
+| [SOLAR-tail-10.7B-Merge-v1.0.Q4_0.gguf](https://huggingface.co/RichardErkhov/PracticeLLM_-_SOLAR-tail-10.7B-Merge-v1.0-gguf/blob/main/SOLAR-tail-10.7B-Merge-v1.0.Q4_0.gguf) | Q4_0 | 5.66GB |
+| [SOLAR-tail-10.7B-Merge-v1.0.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/PracticeLLM_-_SOLAR-tail-10.7B-Merge-v1.0-gguf/blob/main/SOLAR-tail-10.7B-Merge-v1.0.IQ4_NL.gguf) | IQ4_NL | 5.72GB |
+| [SOLAR-tail-10.7B-Merge-v1.0.Q4_K_S.gguf](https://huggingface.co/RichardErkhov/PracticeLLM_-_SOLAR-tail-10.7B-Merge-v1.0-gguf/blob/main/SOLAR-tail-10.7B-Merge-v1.0.Q4_K_S.gguf) | Q4_K_S | 5.7GB |
+| [SOLAR-tail-10.7B-Merge-v1.0.Q4_K.gguf](https://huggingface.co/RichardErkhov/PracticeLLM_-_SOLAR-tail-10.7B-Merge-v1.0-gguf/blob/main/SOLAR-tail-10.7B-Merge-v1.0.Q4_K.gguf) | Q4_K | 6.02GB |
+| [SOLAR-tail-10.7B-Merge-v1.0.Q4_K_M.gguf](https://huggingface.co/RichardErkhov/PracticeLLM_-_SOLAR-tail-10.7B-Merge-v1.0-gguf/blob/main/SOLAR-tail-10.7B-Merge-v1.0.Q4_K_M.gguf) | Q4_K_M | 6.02GB |
+| [SOLAR-tail-10.7B-Merge-v1.0.Q4_1.gguf](https://huggingface.co/RichardErkhov/PracticeLLM_-_SOLAR-tail-10.7B-Merge-v1.0-gguf/blob/main/SOLAR-tail-10.7B-Merge-v1.0.Q4_1.gguf) | Q4_1 | 6.27GB |
+| [SOLAR-tail-10.7B-Merge-v1.0.Q5_0.gguf](https://huggingface.co/RichardErkhov/PracticeLLM_-_SOLAR-tail-10.7B-Merge-v1.0-gguf/blob/main/SOLAR-tail-10.7B-Merge-v1.0.Q5_0.gguf) | Q5_0 | 6.89GB |
+| [SOLAR-tail-10.7B-Merge-v1.0.Q5_K_S.gguf](https://huggingface.co/RichardErkhov/PracticeLLM_-_SOLAR-tail-10.7B-Merge-v1.0-gguf/blob/main/SOLAR-tail-10.7B-Merge-v1.0.Q5_K_S.gguf) | Q5_K_S | 6.89GB |
+| [SOLAR-tail-10.7B-Merge-v1.0.Q5_K.gguf](https://huggingface.co/RichardErkhov/PracticeLLM_-_SOLAR-tail-10.7B-Merge-v1.0-gguf/blob/main/SOLAR-tail-10.7B-Merge-v1.0.Q5_K.gguf) | Q5_K | 7.08GB |
+| [SOLAR-tail-10.7B-Merge-v1.0.Q5_K_M.gguf](https://huggingface.co/RichardErkhov/PracticeLLM_-_SOLAR-tail-10.7B-Merge-v1.0-gguf/blob/main/SOLAR-tail-10.7B-Merge-v1.0.Q5_K_M.gguf) | Q5_K_M | 7.08GB |
+| [SOLAR-tail-10.7B-Merge-v1.0.Q5_1.gguf](https://huggingface.co/RichardErkhov/PracticeLLM_-_SOLAR-tail-10.7B-Merge-v1.0-gguf/blob/main/SOLAR-tail-10.7B-Merge-v1.0.Q5_1.gguf) | Q5_1 | 7.51GB |
+| [SOLAR-tail-10.7B-Merge-v1.0.Q6_K.gguf](https://huggingface.co/RichardErkhov/PracticeLLM_-_SOLAR-tail-10.7B-Merge-v1.0-gguf/blob/main/SOLAR-tail-10.7B-Merge-v1.0.Q6_K.gguf) | Q6_K | 8.2GB |
+| [SOLAR-tail-10.7B-Merge-v1.0.Q8_0.gguf](https://huggingface.co/RichardErkhov/PracticeLLM_-_SOLAR-tail-10.7B-Merge-v1.0-gguf/blob/main/SOLAR-tail-10.7B-Merge-v1.0.Q8_0.gguf) | Q8_0 | 10.62GB |
+
+
+
+
+Original model description:
+---
+language:
+- en
+- ko
+license: cc-by-nc-sa-4.0
+pipeline_tag: text-generation
+model-index:
+- name: SOLAR-tail-10.7B-Merge-v1.0
+  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: 66.13
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=PracticeLLM/SOLAR-tail-10.7B-Merge-v1.0
+      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: 86.54
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=PracticeLLM/SOLAR-tail-10.7B-Merge-v1.0
+      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: 66.52
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=PracticeLLM/SOLAR-tail-10.7B-Merge-v1.0
+      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: 60.57
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=PracticeLLM/SOLAR-tail-10.7B-Merge-v1.0
+      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: 84.77
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=PracticeLLM/SOLAR-tail-10.7B-Merge-v1.0
+      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: 65.58
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=PracticeLLM/SOLAR-tail-10.7B-Merge-v1.0
+      name: Open LLM Leaderboard
+---
+
+# **SOLAR-tail-10.7B-Merge-v1.0**  
+
+## Model Details
+
+**Model Developers** Kyujin Han (kyujinpy)
+
+**Method**  
+Using [Mergekit](https://github.com/cg123/mergekit).  
+- [upstage/SOLAR-10.7B-v1.0](https://huggingface.co/upstage/SOLAR-10.7B-v1.0)  
+- [Yhyu13/LMCocktail-10.7B-v1](Yhyu13/LMCocktail-10.7B-v1)  
+
+**Merge config**
+```
+slices:
+  - sources:
+      - model: upstage/SOLAR-10.7B-v1.0
+        layer_range: [0, 48]
+      - model: Yhyu13/LMCocktail-10.7B-v1
+        layer_range: [0, 48]
+        
+merge_method: slerp
+base_model: upstage/SOLAR-10.7B-v1.0
+
+parameters:
+  t:
+    - filter: self_attn
+      value: [0, 0.5, 0.3, 0.7, 1]
+    - filter: mlp
+      value: [1, 0.5, 0.7, 0.3, 0]
+    - value: 0.5 # fallback for rest of tensors
+tokenizer_source: union
+    
+dtype: float16
+```
+  
+# **Model Benchmark**  
+
+## Open Ko leaderboard
+- Follow up as [Ko-link](https://huggingface.co/spaces/upstage/open-ko-llm-leaderboard).  
+
+| Model | Average | ARC | HellaSwag | MMLU | TruthfulQA | Ko-CommonGenV2 |
+| --- | --- | --- | --- | --- | --- | --- | 
+| PracticeLLM/SOLAR-tail-10.7B-Merge-v1.0 | 48.32 | 45.73 | 56.97 | 38.77 | 38.75 | 61.16 |
+| jjourney1125/M-SOLAR-10.7B-v1.0 | 55.15 | 49.57 | 60.12 | 54.60 | 49.23 | 62.22 |
+
+- Follow up as [En-link](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).  
+| Model | Average | ARC | HellaSwag | MMLU | TruthfulQA | Winogrande | GSM8K |
+| --- | --- | --- | --- | --- | --- | --- | --- | 
+| PracticeLLM/SOLAR-tail-10.7B-Merge-v1.0 | 71.68 | 66.13 | 86.54 | **66.52** | 60.57 | **84.77** | **65.58** |
+| kyujinpy/Sakura-SOLAR-Instruct | **74.40** | **70.99** | **88.42** | 66.33 | **71.79** | 83.66 | 65.20 |
+
+
+## lm-evaluation-harness
+```
+gpt2 (pretrained=PracticeLLM/SOLAR-tail-10.7B-Merge-v1.0), limit: None, provide_description: False, num_fewshot: 0, batch_size: None
+|      Task      |Version| Metric |Value |   |Stderr|
+|----------------|------:|--------|-----:|---|-----:|
+|kobest_boolq    |      0|acc     |0.5021|±  |0.0133|
+|                |       |macro_f1|0.3343|±  |0.0059|
+|kobest_copa     |      0|acc     |0.6220|±  |0.0153|
+|                |       |macro_f1|0.6217|±  |0.0154|
+|kobest_hellaswag|      0|acc     |0.4380|±  |0.0222|
+|                |       |acc_norm|0.5380|±  |0.0223|
+|                |       |macro_f1|0.4366|±  |0.0222|
+|kobest_sentineg |      0|acc     |0.4962|±  |0.0251|
+|                |       |macro_f1|0.3316|±  |0.0113|
+```
+   
+    
+# Implementation Code
+```python
+### KO-Platypus
+from transformers import AutoModelForCausalLM, AutoTokenizer
+import torch
+
+repo = "PracticeLLM/SOLAR-tail-10.7B-Merge-v1.0"
+OpenOrca = AutoModelForCausalLM.from_pretrained(
+        repo,
+        return_dict=True,
+        torch_dtype=torch.float16,
+        device_map='auto'
+)
+OpenOrca_tokenizer = AutoTokenizer.from_pretrained(repo)
+```
+
+---
+# [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_PracticeLLM__SOLAR-tail-10.7B-Merge-v1.0)
+
+|             Metric              |Value|
+|---------------------------------|----:|
+|Avg.                             |71.68|
+|AI2 Reasoning Challenge (25-Shot)|66.13|
+|HellaSwag (10-Shot)              |86.54|
+|MMLU (5-Shot)                    |66.52|
+|TruthfulQA (0-shot)              |60.57|
+|Winogrande (5-shot)              |84.77|
+|GSM8k (5-shot)                   |65.58|
+
+
+