Quantization made by Richard Erkhov. [Github](https://github.com/RichardErkhov) [Discord](https://discord.gg/pvy7H8DZMG) [Request more models](https://github.com/RichardErkhov/quant_request) Neural-SOVLish-Devil-8B-L3 - GGUF - Model creator: https://huggingface.co/saishf/ - Original model: https://huggingface.co/saishf/Neural-SOVLish-Devil-8B-L3/ | Name | Quant method | Size | | ---- | ---- | ---- | | [Neural-SOVLish-Devil-8B-L3.Q2_K.gguf](https://huggingface.co/RichardErkhov/saishf_-_Neural-SOVLish-Devil-8B-L3-gguf/blob/main/Neural-SOVLish-Devil-8B-L3.Q2_K.gguf) | Q2_K | 2.96GB | | [Neural-SOVLish-Devil-8B-L3.IQ3_XS.gguf](https://huggingface.co/RichardErkhov/saishf_-_Neural-SOVLish-Devil-8B-L3-gguf/blob/main/Neural-SOVLish-Devil-8B-L3.IQ3_XS.gguf) | IQ3_XS | 3.28GB | | [Neural-SOVLish-Devil-8B-L3.IQ3_S.gguf](https://huggingface.co/RichardErkhov/saishf_-_Neural-SOVLish-Devil-8B-L3-gguf/blob/main/Neural-SOVLish-Devil-8B-L3.IQ3_S.gguf) | IQ3_S | 3.43GB | | [Neural-SOVLish-Devil-8B-L3.Q3_K_S.gguf](https://huggingface.co/RichardErkhov/saishf_-_Neural-SOVLish-Devil-8B-L3-gguf/blob/main/Neural-SOVLish-Devil-8B-L3.Q3_K_S.gguf) | Q3_K_S | 3.41GB | | [Neural-SOVLish-Devil-8B-L3.IQ3_M.gguf](https://huggingface.co/RichardErkhov/saishf_-_Neural-SOVLish-Devil-8B-L3-gguf/blob/main/Neural-SOVLish-Devil-8B-L3.IQ3_M.gguf) | IQ3_M | 3.52GB | | [Neural-SOVLish-Devil-8B-L3.Q3_K.gguf](https://huggingface.co/RichardErkhov/saishf_-_Neural-SOVLish-Devil-8B-L3-gguf/blob/main/Neural-SOVLish-Devil-8B-L3.Q3_K.gguf) | Q3_K | 3.74GB | | [Neural-SOVLish-Devil-8B-L3.Q3_K_M.gguf](https://huggingface.co/RichardErkhov/saishf_-_Neural-SOVLish-Devil-8B-L3-gguf/blob/main/Neural-SOVLish-Devil-8B-L3.Q3_K_M.gguf) | Q3_K_M | 3.74GB | | [Neural-SOVLish-Devil-8B-L3.Q3_K_L.gguf](https://huggingface.co/RichardErkhov/saishf_-_Neural-SOVLish-Devil-8B-L3-gguf/blob/main/Neural-SOVLish-Devil-8B-L3.Q3_K_L.gguf) | Q3_K_L | 4.03GB | | [Neural-SOVLish-Devil-8B-L3.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/saishf_-_Neural-SOVLish-Devil-8B-L3-gguf/blob/main/Neural-SOVLish-Devil-8B-L3.IQ4_XS.gguf) | IQ4_XS | 4.18GB | | [Neural-SOVLish-Devil-8B-L3.Q4_0.gguf](https://huggingface.co/RichardErkhov/saishf_-_Neural-SOVLish-Devil-8B-L3-gguf/blob/main/Neural-SOVLish-Devil-8B-L3.Q4_0.gguf) | Q4_0 | 4.34GB | | [Neural-SOVLish-Devil-8B-L3.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/saishf_-_Neural-SOVLish-Devil-8B-L3-gguf/blob/main/Neural-SOVLish-Devil-8B-L3.IQ4_NL.gguf) | IQ4_NL | 4.38GB | | [Neural-SOVLish-Devil-8B-L3.Q4_K_S.gguf](https://huggingface.co/RichardErkhov/saishf_-_Neural-SOVLish-Devil-8B-L3-gguf/blob/main/Neural-SOVLish-Devil-8B-L3.Q4_K_S.gguf) | Q4_K_S | 4.37GB | | [Neural-SOVLish-Devil-8B-L3.Q4_K.gguf](https://huggingface.co/RichardErkhov/saishf_-_Neural-SOVLish-Devil-8B-L3-gguf/blob/main/Neural-SOVLish-Devil-8B-L3.Q4_K.gguf) | Q4_K | 4.58GB | | [Neural-SOVLish-Devil-8B-L3.Q4_K_M.gguf](https://huggingface.co/RichardErkhov/saishf_-_Neural-SOVLish-Devil-8B-L3-gguf/blob/main/Neural-SOVLish-Devil-8B-L3.Q4_K_M.gguf) | Q4_K_M | 4.58GB | | [Neural-SOVLish-Devil-8B-L3.Q4_1.gguf](https://huggingface.co/RichardErkhov/saishf_-_Neural-SOVLish-Devil-8B-L3-gguf/blob/main/Neural-SOVLish-Devil-8B-L3.Q4_1.gguf) | Q4_1 | 4.78GB | | [Neural-SOVLish-Devil-8B-L3.Q5_0.gguf](https://huggingface.co/RichardErkhov/saishf_-_Neural-SOVLish-Devil-8B-L3-gguf/blob/main/Neural-SOVLish-Devil-8B-L3.Q5_0.gguf) | Q5_0 | 5.21GB | | [Neural-SOVLish-Devil-8B-L3.Q5_K_S.gguf](https://huggingface.co/RichardErkhov/saishf_-_Neural-SOVLish-Devil-8B-L3-gguf/blob/main/Neural-SOVLish-Devil-8B-L3.Q5_K_S.gguf) | Q5_K_S | 5.21GB | | [Neural-SOVLish-Devil-8B-L3.Q5_K.gguf](https://huggingface.co/RichardErkhov/saishf_-_Neural-SOVLish-Devil-8B-L3-gguf/blob/main/Neural-SOVLish-Devil-8B-L3.Q5_K.gguf) | Q5_K | 5.34GB | | [Neural-SOVLish-Devil-8B-L3.Q5_K_M.gguf](https://huggingface.co/RichardErkhov/saishf_-_Neural-SOVLish-Devil-8B-L3-gguf/blob/main/Neural-SOVLish-Devil-8B-L3.Q5_K_M.gguf) | Q5_K_M | 5.34GB | | [Neural-SOVLish-Devil-8B-L3.Q5_1.gguf](https://huggingface.co/RichardErkhov/saishf_-_Neural-SOVLish-Devil-8B-L3-gguf/blob/main/Neural-SOVLish-Devil-8B-L3.Q5_1.gguf) | Q5_1 | 5.65GB | | [Neural-SOVLish-Devil-8B-L3.Q6_K.gguf](https://huggingface.co/RichardErkhov/saishf_-_Neural-SOVLish-Devil-8B-L3-gguf/blob/main/Neural-SOVLish-Devil-8B-L3.Q6_K.gguf) | Q6_K | 6.14GB | | [Neural-SOVLish-Devil-8B-L3.Q8_0.gguf](https://huggingface.co/RichardErkhov/saishf_-_Neural-SOVLish-Devil-8B-L3-gguf/blob/main/Neural-SOVLish-Devil-8B-L3.Q8_0.gguf) | Q8_0 | 7.95GB | Original model description: --- license: cc-by-nc-4.0 library_name: transformers tags: - mergekit - merge base_model: - mlabonne/NeuralDaredevil-8B-abliterated - ResplendentAI/BlueMoon_Llama3 - mlabonne/NeuralDaredevil-8B-abliterated - ResplendentAI/Smarts_Llama3 - mlabonne/NeuralDaredevil-8B-abliterated - ResplendentAI/Luna_Llama3 - mlabonne/NeuralDaredevil-8B-abliterated - ResplendentAI/Aura_Llama3 - mlabonne/NeuralDaredevil-8B-abliterated - ResplendentAI/RP_Format_QuoteAsterisk_Llama3 - mlabonne/NeuralDaredevil-8B-abliterated model-index: - name: Neural-SOVLish-Devil-8B-L3 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: 69.11 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=saishf/Neural-SOVLish-Devil-8B-L3 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: 84.77 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=saishf/Neural-SOVLish-Devil-8B-L3 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: 69.02 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=saishf/Neural-SOVLish-Devil-8B-L3 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: 59.05 source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=saishf/Neural-SOVLish-Devil-8B-L3 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: 78.3 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=saishf/Neural-SOVLish-Devil-8B-L3 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: 73.09 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=saishf/Neural-SOVLish-Devil-8B-L3 name: Open LLM Leaderboard --- # merge This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit). ## Merge Details This is another "SOVL" style merge, this time using [mlabonne/NeuralDaredevil-8B-abliterated](https://huggingface.co/mlabonne/NeuralDaredevil-8B-abliterated). Daredevil is the first abliterated model series i've tried that feels as smart as base llama-3-instruct while also being willing to give instructions to do all kinda of illegal things Neural daredevil is trained further on the original abliterated model, which should result in a better experience in most scenarios. (A bandaid for the damage abliteration causes) This model should do well in rp, I'm yet to test it (waiting for gguf files @_@) ### Merge Method This model was merged using the [Model Stock](https://arxiv.org/abs/2403.19522) merge method using [mlabonne/NeuralDaredevil-8B-abliterated](https://huggingface.co/mlabonne/NeuralDaredevil-8B-abliterated) as a base. ### Models Merged The following models were included in the merge: * [mlabonne/NeuralDaredevil-8B-abliterated](https://huggingface.co/mlabonne/NeuralDaredevil-8B-abliterated) + [ResplendentAI/BlueMoon_Llama3](https://huggingface.co/ResplendentAI/BlueMoon_Llama3) * [mlabonne/NeuralDaredevil-8B-abliterated](https://huggingface.co/mlabonne/NeuralDaredevil-8B-abliterated) + [ResplendentAI/Smarts_Llama3](https://huggingface.co/ResplendentAI/Smarts_Llama3) * [mlabonne/NeuralDaredevil-8B-abliterated](https://huggingface.co/mlabonne/NeuralDaredevil-8B-abliterated) + [ResplendentAI/Luna_Llama3](https://huggingface.co/ResplendentAI/Luna_Llama3) * [mlabonne/NeuralDaredevil-8B-abliterated](https://huggingface.co/mlabonne/NeuralDaredevil-8B-abliterated) + [ResplendentAI/Aura_Llama3](https://huggingface.co/ResplendentAI/Aura_Llama3) * [mlabonne/NeuralDaredevil-8B-abliterated](https://huggingface.co/mlabonne/NeuralDaredevil-8B-abliterated) + [ResplendentAI/RP_Format_QuoteAsterisk_Llama3](https://huggingface.co/ResplendentAI/RP_Format_QuoteAsterisk_Llama3) ### Configuration The following YAML configuration was used to produce this model: ```yaml models: - model: mlabonne/NeuralDaredevil-8B-abliterated+ResplendentAI/Aura_Llama3 - model: mlabonne/NeuralDaredevil-8B-abliterated+ResplendentAI/Smarts_Llama3 - model: mlabonne/NeuralDaredevil-8B-abliterated+ResplendentAI/Luna_Llama3 - model: mlabonne/NeuralDaredevil-8B-abliterated+ResplendentAI/BlueMoon_Llama3 - model: mlabonne/NeuralDaredevil-8B-abliterated+ResplendentAI/RP_Format_QuoteAsterisk_Llama3 merge_method: model_stock base_model: mlabonne/NeuralDaredevil-8B-abliterated dtype: bfloat16 ``` # [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_saishf__Neural-SOVLish-Devil-8B-L3) | Metric |Value| |---------------------------------|----:| |Avg. |72.22| |AI2 Reasoning Challenge (25-Shot)|69.11| |HellaSwag (10-Shot) |84.77| |MMLU (5-Shot) |69.02| |TruthfulQA (0-shot) |59.05| |Winogrande (5-shot) |78.30| |GSM8k (5-shot) |73.09|