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|