Quantization made by Richard Erkhov. [Github](https://github.com/RichardErkhov) [Discord](https://discord.gg/pvy7H8DZMG) [Request more models](https://github.com/RichardErkhov/quant_request) OpenHermes-Qwen1.5-1.8B - GGUF - Model creator: https://huggingface.co/vicgalle/ - Original model: https://huggingface.co/vicgalle/OpenHermes-Qwen1.5-1.8B/ | Name | Quant method | Size | | ---- | ---- | ---- | | [OpenHermes-Qwen1.5-1.8B.Q2_K.gguf](https://huggingface.co/RichardErkhov/vicgalle_-_OpenHermes-Qwen1.5-1.8B-gguf/blob/main/OpenHermes-Qwen1.5-1.8B.Q2_K.gguf) | Q2_K | 0.79GB | | [OpenHermes-Qwen1.5-1.8B.IQ3_XS.gguf](https://huggingface.co/RichardErkhov/vicgalle_-_OpenHermes-Qwen1.5-1.8B-gguf/blob/main/OpenHermes-Qwen1.5-1.8B.IQ3_XS.gguf) | IQ3_XS | 0.86GB | | [OpenHermes-Qwen1.5-1.8B.IQ3_S.gguf](https://huggingface.co/RichardErkhov/vicgalle_-_OpenHermes-Qwen1.5-1.8B-gguf/blob/main/OpenHermes-Qwen1.5-1.8B.IQ3_S.gguf) | IQ3_S | 0.89GB | | [OpenHermes-Qwen1.5-1.8B.Q3_K_S.gguf](https://huggingface.co/RichardErkhov/vicgalle_-_OpenHermes-Qwen1.5-1.8B-gguf/blob/main/OpenHermes-Qwen1.5-1.8B.Q3_K_S.gguf) | Q3_K_S | 0.89GB | | [OpenHermes-Qwen1.5-1.8B.IQ3_M.gguf](https://huggingface.co/RichardErkhov/vicgalle_-_OpenHermes-Qwen1.5-1.8B-gguf/blob/main/OpenHermes-Qwen1.5-1.8B.IQ3_M.gguf) | IQ3_M | 0.92GB | | [OpenHermes-Qwen1.5-1.8B.Q3_K.gguf](https://huggingface.co/RichardErkhov/vicgalle_-_OpenHermes-Qwen1.5-1.8B-gguf/blob/main/OpenHermes-Qwen1.5-1.8B.Q3_K.gguf) | Q3_K | 0.95GB | | [OpenHermes-Qwen1.5-1.8B.Q3_K_M.gguf](https://huggingface.co/RichardErkhov/vicgalle_-_OpenHermes-Qwen1.5-1.8B-gguf/blob/main/OpenHermes-Qwen1.5-1.8B.Q3_K_M.gguf) | Q3_K_M | 0.95GB | | [OpenHermes-Qwen1.5-1.8B.Q3_K_L.gguf](https://huggingface.co/RichardErkhov/vicgalle_-_OpenHermes-Qwen1.5-1.8B-gguf/blob/main/OpenHermes-Qwen1.5-1.8B.Q3_K_L.gguf) | Q3_K_L | 0.98GB | | [OpenHermes-Qwen1.5-1.8B.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/vicgalle_-_OpenHermes-Qwen1.5-1.8B-gguf/blob/main/OpenHermes-Qwen1.5-1.8B.IQ4_XS.gguf) | IQ4_XS | 1.01GB | | [OpenHermes-Qwen1.5-1.8B.Q4_0.gguf](https://huggingface.co/RichardErkhov/vicgalle_-_OpenHermes-Qwen1.5-1.8B-gguf/blob/main/OpenHermes-Qwen1.5-1.8B.Q4_0.gguf) | Q4_0 | 1.04GB | | [OpenHermes-Qwen1.5-1.8B.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/vicgalle_-_OpenHermes-Qwen1.5-1.8B-gguf/blob/main/OpenHermes-Qwen1.5-1.8B.IQ4_NL.gguf) | IQ4_NL | 1.05GB | | [OpenHermes-Qwen1.5-1.8B.Q4_K_S.gguf](https://huggingface.co/RichardErkhov/vicgalle_-_OpenHermes-Qwen1.5-1.8B-gguf/blob/main/OpenHermes-Qwen1.5-1.8B.Q4_K_S.gguf) | Q4_K_S | 1.08GB | | [OpenHermes-Qwen1.5-1.8B.Q4_K.gguf](https://huggingface.co/RichardErkhov/vicgalle_-_OpenHermes-Qwen1.5-1.8B-gguf/blob/main/OpenHermes-Qwen1.5-1.8B.Q4_K.gguf) | Q4_K | 1.13GB | | [OpenHermes-Qwen1.5-1.8B.Q4_K_M.gguf](https://huggingface.co/RichardErkhov/vicgalle_-_OpenHermes-Qwen1.5-1.8B-gguf/blob/main/OpenHermes-Qwen1.5-1.8B.Q4_K_M.gguf) | Q4_K_M | 1.13GB | | [OpenHermes-Qwen1.5-1.8B.Q4_1.gguf](https://huggingface.co/RichardErkhov/vicgalle_-_OpenHermes-Qwen1.5-1.8B-gguf/blob/main/OpenHermes-Qwen1.5-1.8B.Q4_1.gguf) | Q4_1 | 1.13GB | | [OpenHermes-Qwen1.5-1.8B.Q5_0.gguf](https://huggingface.co/RichardErkhov/vicgalle_-_OpenHermes-Qwen1.5-1.8B-gguf/blob/main/OpenHermes-Qwen1.5-1.8B.Q5_0.gguf) | Q5_0 | 1.22GB | | [OpenHermes-Qwen1.5-1.8B.Q5_K_S.gguf](https://huggingface.co/RichardErkhov/vicgalle_-_OpenHermes-Qwen1.5-1.8B-gguf/blob/main/OpenHermes-Qwen1.5-1.8B.Q5_K_S.gguf) | Q5_K_S | 1.24GB | | [OpenHermes-Qwen1.5-1.8B.Q5_K.gguf](https://huggingface.co/RichardErkhov/vicgalle_-_OpenHermes-Qwen1.5-1.8B-gguf/blob/main/OpenHermes-Qwen1.5-1.8B.Q5_K.gguf) | Q5_K | 1.28GB | | [OpenHermes-Qwen1.5-1.8B.Q5_K_M.gguf](https://huggingface.co/RichardErkhov/vicgalle_-_OpenHermes-Qwen1.5-1.8B-gguf/blob/main/OpenHermes-Qwen1.5-1.8B.Q5_K_M.gguf) | Q5_K_M | 1.28GB | | [OpenHermes-Qwen1.5-1.8B.Q5_1.gguf](https://huggingface.co/RichardErkhov/vicgalle_-_OpenHermes-Qwen1.5-1.8B-gguf/blob/main/OpenHermes-Qwen1.5-1.8B.Q5_1.gguf) | Q5_1 | 1.31GB | | [OpenHermes-Qwen1.5-1.8B.Q6_K.gguf](https://huggingface.co/RichardErkhov/vicgalle_-_OpenHermes-Qwen1.5-1.8B-gguf/blob/main/OpenHermes-Qwen1.5-1.8B.Q6_K.gguf) | Q6_K | 1.47GB | | [OpenHermes-Qwen1.5-1.8B.Q8_0.gguf](https://huggingface.co/RichardErkhov/vicgalle_-_OpenHermes-Qwen1.5-1.8B-gguf/blob/main/OpenHermes-Qwen1.5-1.8B.Q8_0.gguf) | Q8_0 | 1.82GB | Original model description: --- license: apache-2.0 library_name: transformers datasets: - vicgalle/OpenHermesPreferences-1k model-index: - name: OpenHermes-Qwen1.5-1.8B 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: 37.8 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=vicgalle/OpenHermes-Qwen1.5-1.8B 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: 59.73 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=vicgalle/OpenHermes-Qwen1.5-1.8B 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: 45.8 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=vicgalle/OpenHermes-Qwen1.5-1.8B 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: 42.28 source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=vicgalle/OpenHermes-Qwen1.5-1.8B 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: 60.22 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=vicgalle/OpenHermes-Qwen1.5-1.8B 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: 23.88 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=vicgalle/OpenHermes-Qwen1.5-1.8B name: Open LLM Leaderboard --- # [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_vicgalle__OpenHermes-Qwen1.5-1.8B) | Metric |Value| |---------------------------------|----:| |Avg. |44.95| |AI2 Reasoning Challenge (25-Shot)|37.80| |HellaSwag (10-Shot) |59.73| |MMLU (5-Shot) |45.80| |TruthfulQA (0-shot) |42.28| |Winogrande (5-shot) |60.22| |GSM8k (5-shot) |23.88|