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Lunar_10.7B - GGUF
- Model creator: https://huggingface.co/ChaoticNeutrals/
- Original model: https://huggingface.co/ChaoticNeutrals/Lunar_10.7B/
Name | Quant method | Size |
---|---|---|
Lunar_10.7B.Q2_K.gguf | Q2_K | 3.73GB |
Lunar_10.7B.IQ3_XS.gguf | IQ3_XS | 4.14GB |
Lunar_10.7B.IQ3_S.gguf | IQ3_S | 4.37GB |
Lunar_10.7B.Q3_K_S.gguf | Q3_K_S | 4.34GB |
Lunar_10.7B.IQ3_M.gguf | IQ3_M | 4.51GB |
Lunar_10.7B.Q3_K.gguf | Q3_K | 4.84GB |
Lunar_10.7B.Q3_K_M.gguf | Q3_K_M | 4.84GB |
Lunar_10.7B.Q3_K_L.gguf | Q3_K_L | 5.26GB |
Lunar_10.7B.IQ4_XS.gguf | IQ4_XS | 5.43GB |
Lunar_10.7B.Q4_0.gguf | Q4_0 | 5.66GB |
Lunar_10.7B.IQ4_NL.gguf | IQ4_NL | 5.72GB |
Lunar_10.7B.Q4_K_S.gguf | Q4_K_S | 5.7GB |
Lunar_10.7B.Q4_K.gguf | Q4_K | 6.02GB |
Lunar_10.7B.Q4_K_M.gguf | Q4_K_M | 6.02GB |
Lunar_10.7B.Q4_1.gguf | Q4_1 | 6.27GB |
Lunar_10.7B.Q5_0.gguf | Q5_0 | 6.89GB |
Lunar_10.7B.Q5_K_S.gguf | Q5_K_S | 6.89GB |
Lunar_10.7B.Q5_K.gguf | Q5_K | 7.08GB |
Lunar_10.7B.Q5_K_M.gguf | Q5_K_M | 7.08GB |
Lunar_10.7B.Q5_1.gguf | Q5_1 | 7.51GB |
Lunar_10.7B.Q6_K.gguf | Q6_K | 8.2GB |
Lunar_10.7B.Q8_0.gguf | Q8_0 | 10.62GB |
Original model description:
language: - en license: cc-by-nc-sa-4.0 model-index: - name: Lunar_10.7B 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: 65.87 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ChaoticNeutrals/Lunar_10.7B 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: 84.85 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ChaoticNeutrals/Lunar_10.7B 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: 64.23 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ChaoticNeutrals/Lunar_10.7B 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: 53.51 source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ChaoticNeutrals/Lunar_10.7B 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: 81.37 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ChaoticNeutrals/Lunar_10.7B 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: 53.68 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ChaoticNeutrals/Lunar_10.7B name: Open LLM Leaderboard
This model consists of a finetuned model of my own SLERP merged with this model: https://huggingface.co/Sao10K/Sensualize-Solar-10.7B created by https://huggingface.co/Sao10K
Lunar was produced by a variety of methods for the purpose of being a companion bot capable of intimacy as well as conversation.
GGUF here: https://huggingface.co/jeiku/Lunar_10.7B_GGUF
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
Metric | Value |
---|---|
Avg. | 67.25 |
AI2 Reasoning Challenge (25-Shot) | 65.87 |
HellaSwag (10-Shot) | 84.85 |
MMLU (5-Shot) | 64.23 |
TruthfulQA (0-shot) | 53.51 |
Winogrande (5-shot) | 81.37 |
GSM8k (5-shot) | 53.68 |
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