Quantization made by Richard Erkhov. [Github](https://github.com/RichardErkhov) [Discord](https://discord.gg/pvy7H8DZMG) [Request more models](https://github.com/RichardErkhov/quant_request) Llama3-KALE-LM-Chem-1.5-8B - GGUF - Model creator: https://huggingface.co/USTC-KnowledgeComputingLab/ - Original model: https://huggingface.co/USTC-KnowledgeComputingLab/Llama3-KALE-LM-Chem-1.5-8B/ | Name | Quant method | Size | | ---- | ---- | ---- | | [Llama3-KALE-LM-Chem-1.5-8B.Q2_K.gguf](https://huggingface.co/RichardErkhov/USTC-KnowledgeComputingLab_-_Llama3-KALE-LM-Chem-1.5-8B-gguf/blob/main/Llama3-KALE-LM-Chem-1.5-8B.Q2_K.gguf) | Q2_K | 2.96GB | | [Llama3-KALE-LM-Chem-1.5-8B.IQ3_XS.gguf](https://huggingface.co/RichardErkhov/USTC-KnowledgeComputingLab_-_Llama3-KALE-LM-Chem-1.5-8B-gguf/blob/main/Llama3-KALE-LM-Chem-1.5-8B.IQ3_XS.gguf) | IQ3_XS | 3.28GB | | [Llama3-KALE-LM-Chem-1.5-8B.IQ3_S.gguf](https://huggingface.co/RichardErkhov/USTC-KnowledgeComputingLab_-_Llama3-KALE-LM-Chem-1.5-8B-gguf/blob/main/Llama3-KALE-LM-Chem-1.5-8B.IQ3_S.gguf) | IQ3_S | 3.43GB | | [Llama3-KALE-LM-Chem-1.5-8B.Q3_K_S.gguf](https://huggingface.co/RichardErkhov/USTC-KnowledgeComputingLab_-_Llama3-KALE-LM-Chem-1.5-8B-gguf/blob/main/Llama3-KALE-LM-Chem-1.5-8B.Q3_K_S.gguf) | Q3_K_S | 3.41GB | | [Llama3-KALE-LM-Chem-1.5-8B.IQ3_M.gguf](https://huggingface.co/RichardErkhov/USTC-KnowledgeComputingLab_-_Llama3-KALE-LM-Chem-1.5-8B-gguf/blob/main/Llama3-KALE-LM-Chem-1.5-8B.IQ3_M.gguf) | IQ3_M | 3.52GB | | [Llama3-KALE-LM-Chem-1.5-8B.Q3_K.gguf](https://huggingface.co/RichardErkhov/USTC-KnowledgeComputingLab_-_Llama3-KALE-LM-Chem-1.5-8B-gguf/blob/main/Llama3-KALE-LM-Chem-1.5-8B.Q3_K.gguf) | Q3_K | 3.74GB | | [Llama3-KALE-LM-Chem-1.5-8B.Q3_K_M.gguf](https://huggingface.co/RichardErkhov/USTC-KnowledgeComputingLab_-_Llama3-KALE-LM-Chem-1.5-8B-gguf/blob/main/Llama3-KALE-LM-Chem-1.5-8B.Q3_K_M.gguf) | Q3_K_M | 3.74GB | | [Llama3-KALE-LM-Chem-1.5-8B.Q3_K_L.gguf](https://huggingface.co/RichardErkhov/USTC-KnowledgeComputingLab_-_Llama3-KALE-LM-Chem-1.5-8B-gguf/blob/main/Llama3-KALE-LM-Chem-1.5-8B.Q3_K_L.gguf) | Q3_K_L | 4.03GB | | [Llama3-KALE-LM-Chem-1.5-8B.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/USTC-KnowledgeComputingLab_-_Llama3-KALE-LM-Chem-1.5-8B-gguf/blob/main/Llama3-KALE-LM-Chem-1.5-8B.IQ4_XS.gguf) | IQ4_XS | 4.18GB | | [Llama3-KALE-LM-Chem-1.5-8B.Q4_0.gguf](https://huggingface.co/RichardErkhov/USTC-KnowledgeComputingLab_-_Llama3-KALE-LM-Chem-1.5-8B-gguf/blob/main/Llama3-KALE-LM-Chem-1.5-8B.Q4_0.gguf) | Q4_0 | 4.34GB | | [Llama3-KALE-LM-Chem-1.5-8B.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/USTC-KnowledgeComputingLab_-_Llama3-KALE-LM-Chem-1.5-8B-gguf/blob/main/Llama3-KALE-LM-Chem-1.5-8B.IQ4_NL.gguf) | IQ4_NL | 1.49GB | | [Llama3-KALE-LM-Chem-1.5-8B.Q4_K_S.gguf](https://huggingface.co/RichardErkhov/USTC-KnowledgeComputingLab_-_Llama3-KALE-LM-Chem-1.5-8B-gguf/blob/main/Llama3-KALE-LM-Chem-1.5-8B.Q4_K_S.gguf) | Q4_K_S | 4.37GB | | [Llama3-KALE-LM-Chem-1.5-8B.Q4_K.gguf](https://huggingface.co/RichardErkhov/USTC-KnowledgeComputingLab_-_Llama3-KALE-LM-Chem-1.5-8B-gguf/blob/main/Llama3-KALE-LM-Chem-1.5-8B.Q4_K.gguf) | Q4_K | 4.58GB | | [Llama3-KALE-LM-Chem-1.5-8B.Q4_K_M.gguf](https://huggingface.co/RichardErkhov/USTC-KnowledgeComputingLab_-_Llama3-KALE-LM-Chem-1.5-8B-gguf/blob/main/Llama3-KALE-LM-Chem-1.5-8B.Q4_K_M.gguf) | Q4_K_M | 4.58GB | | [Llama3-KALE-LM-Chem-1.5-8B.Q4_1.gguf](https://huggingface.co/RichardErkhov/USTC-KnowledgeComputingLab_-_Llama3-KALE-LM-Chem-1.5-8B-gguf/blob/main/Llama3-KALE-LM-Chem-1.5-8B.Q4_1.gguf) | Q4_1 | 4.78GB | | [Llama3-KALE-LM-Chem-1.5-8B.Q5_0.gguf](https://huggingface.co/RichardErkhov/USTC-KnowledgeComputingLab_-_Llama3-KALE-LM-Chem-1.5-8B-gguf/blob/main/Llama3-KALE-LM-Chem-1.5-8B.Q5_0.gguf) | Q5_0 | 5.21GB | | [Llama3-KALE-LM-Chem-1.5-8B.Q5_K_S.gguf](https://huggingface.co/RichardErkhov/USTC-KnowledgeComputingLab_-_Llama3-KALE-LM-Chem-1.5-8B-gguf/blob/main/Llama3-KALE-LM-Chem-1.5-8B.Q5_K_S.gguf) | Q5_K_S | 5.21GB | | [Llama3-KALE-LM-Chem-1.5-8B.Q5_K.gguf](https://huggingface.co/RichardErkhov/USTC-KnowledgeComputingLab_-_Llama3-KALE-LM-Chem-1.5-8B-gguf/blob/main/Llama3-KALE-LM-Chem-1.5-8B.Q5_K.gguf) | Q5_K | 5.34GB | | [Llama3-KALE-LM-Chem-1.5-8B.Q5_K_M.gguf](https://huggingface.co/RichardErkhov/USTC-KnowledgeComputingLab_-_Llama3-KALE-LM-Chem-1.5-8B-gguf/blob/main/Llama3-KALE-LM-Chem-1.5-8B.Q5_K_M.gguf) | Q5_K_M | 5.34GB | | [Llama3-KALE-LM-Chem-1.5-8B.Q5_1.gguf](https://huggingface.co/RichardErkhov/USTC-KnowledgeComputingLab_-_Llama3-KALE-LM-Chem-1.5-8B-gguf/blob/main/Llama3-KALE-LM-Chem-1.5-8B.Q5_1.gguf) | Q5_1 | 5.65GB | | [Llama3-KALE-LM-Chem-1.5-8B.Q6_K.gguf](https://huggingface.co/RichardErkhov/USTC-KnowledgeComputingLab_-_Llama3-KALE-LM-Chem-1.5-8B-gguf/blob/main/Llama3-KALE-LM-Chem-1.5-8B.Q6_K.gguf) | Q6_K | 6.14GB | | [Llama3-KALE-LM-Chem-1.5-8B.Q8_0.gguf](https://huggingface.co/RichardErkhov/USTC-KnowledgeComputingLab_-_Llama3-KALE-LM-Chem-1.5-8B-gguf/blob/main/Llama3-KALE-LM-Chem-1.5-8B.Q8_0.gguf) | Q8_0 | 7.95GB | Original model description: --- license: llama3 language: - en base_model: - meta-llama/Meta-Llama-3-8B-Instruct tags: - KALE-LM - science - chemistry pipeline_tag: text-generation --- # Llama3-KALE-LM-Chem-1.5-8B ## Introduction We are thrilled to present Llama3-KALE-LM-Chem-1.5-8B, a new version of our open-source KALE-LM for science, which specializes in chemistry. We have trained our model with a larger amount of data. ## Benchmarks ### Open Benchmarks | Models | ChemBench | MMLU | MMLU-Chem | SciQ | IE(Acc) | IE(LS) | | ---- | ---- | ---- | ---- | ---- | ---- | ---- | | GPT-3.5 | 47.15 | 69.75 | 53.32 | 89.6 | 52.98 | 68.28 | | GPT-4 | 53.72 | 78.67 | 63.70 | 94.10 | 54.20 | 69.74 | | Llama3-8B-Instruct | 46.02 | 68.3 | 51.10 | 93.30 | 45.83 | 61.22 | | LlaSMol | 28.47 | 54.47 | 33.24 | 72.30 | 2.16 | 3.23 | | ChemDFM | 44.44 | 58.11 | 45.60 | 86.70 | 7.61 | 11.49 | | ChemLLM-7B-Chat | 34.16 | 61.79 | 48.39 | 94.00 | 29.66 | 39.17 | | ChemLLM-7B-Chat-1.5-SFT | 42.75 | 63.56 | 49.63 | **95.10** | 14.96 | 19.61 | | **Llama3-KALE-LM-Chem-1.5-8B** | **57.01** | 68.06 | **54.83** | 91.60 | **57.53** | **64.16** | #### ChemBench Details (Evaluated By OpenCompass) | Models | NC | PP | M2C | C2M | PP | RS | YP | TP | SP | Average | | ------ | ------ | ------ | ------ | ------ | ------ | ------ | ------ | ------ | ------ | ------ | | GPT-3.5 | 46.93 | 56.98 | 85.28 | 38.25 | 43.67 | 42.33 | 30.33 | 42.57 | 38 | 47.15 | | GPT-4 | 54.82 | 65.02 | 92.64 | 52.88 | 62.67 | 52.67 | 42.33 | 24.75 | 35.67 | 53.72 | | Llama3-8B-Instruct | 51.31 | 27.79 | 90.30 | 40.88 | 34.00 | 30.00 | 45.33 | 60.89 | 33.67 | 46.02 | | LlaSMol | 27.78 | 29.34 | 31.44 | 23.38 | 25.67 | 24.00 | 37.33 | 34.65 | 22.67 | 28.47 | | ChemDFM | 36.92 | 55.57 | 83.95 | 42.00 | 40.00 | 37.33 | 39.00 | 33.17 | 32.00 | 44.44 | | ChemLLM-7B-Chat | 41.05 | 29.76 | 85.28 | 26.12 | 26.00 | 24.00 | 20.00 | 24.26 | 31.00 | 34.16 | | ChemLLM-7B-Chat-1.5-SFT | 50.06 | 49.51 | 85.28 | 38.75 | 38.00 | 26.67 | 28.33 | 31.68 | 33.67 | 42.44 | | Llama3-KALE-LM-Chem-1.5-8B | 61.33 | 43.44 | 90.30 | 53.62 | 72.67 | 53.67 | 46.00 | 47.03 | 45.00 | 57.01 | ## Cite This Work ``` @article{dai2024kale, title={KALE-LM: Unleash The Power Of AI For Science Via Knowledge And Logic Enhanced Large Model}, author={Dai, Weichen and Chen, Yezeng and Dai, Zijie and Huang, Zhijie and Liu, Yubo and Pan, Yixuan and Song, Baiyang and Zhong, Chengli and Li, Xinhe and Wang, Zeyu and others}, journal={arXiv preprint arXiv:2409.18695}, year={2024} } ```