| Quantization made by Richard Erkhov. | |
| [Github](https://github.com/RichardErkhov) | |
| [Discord](https://discord.gg/pvy7H8DZMG) | |
| [Request more models](https://github.com/RichardErkhov/quant_request) | |
| Llama-3.1-Nemotron-lorablated-70B - GGUF | |
| - Model creator: https://huggingface.co/nbeerbower/ | |
| - Original model: https://huggingface.co/nbeerbower/Llama-3.1-Nemotron-lorablated-70B/ | |
| | Name | Quant method | Size | | |
| | ---- | ---- | ---- | | |
| | [Llama-3.1-Nemotron-lorablated-70B.Q2_K.gguf](https://huggingface.co/RichardErkhov/nbeerbower_-_Llama-3.1-Nemotron-lorablated-70B-gguf/blob/main/Llama-3.1-Nemotron-lorablated-70B.Q2_K.gguf) | Q2_K | 24.56GB | | |
| | [Llama-3.1-Nemotron-lorablated-70B.IQ3_XS.gguf](https://huggingface.co/RichardErkhov/nbeerbower_-_Llama-3.1-Nemotron-lorablated-70B-gguf/blob/main/Llama-3.1-Nemotron-lorablated-70B.IQ3_XS.gguf) | IQ3_XS | 27.29GB | | |
| | [Llama-3.1-Nemotron-lorablated-70B.IQ3_S.gguf](https://huggingface.co/RichardErkhov/nbeerbower_-_Llama-3.1-Nemotron-lorablated-70B-gguf/blob/main/Llama-3.1-Nemotron-lorablated-70B.IQ3_S.gguf) | IQ3_S | 28.79GB | | |
| | [Llama-3.1-Nemotron-lorablated-70B.Q3_K_S.gguf](https://huggingface.co/RichardErkhov/nbeerbower_-_Llama-3.1-Nemotron-lorablated-70B-gguf/blob/main/Llama-3.1-Nemotron-lorablated-70B.Q3_K_S.gguf) | Q3_K_S | 28.79GB | | |
| | [Llama-3.1-Nemotron-lorablated-70B.IQ3_M.gguf](https://huggingface.co/RichardErkhov/nbeerbower_-_Llama-3.1-Nemotron-lorablated-70B-gguf/blob/main/Llama-3.1-Nemotron-lorablated-70B.IQ3_M.gguf) | IQ3_M | 29.74GB | | |
| | [Llama-3.1-Nemotron-lorablated-70B.Q3_K.gguf](https://huggingface.co/RichardErkhov/nbeerbower_-_Llama-3.1-Nemotron-lorablated-70B-gguf/blob/main/Llama-3.1-Nemotron-lorablated-70B.Q3_K.gguf) | Q3_K | 31.91GB | | |
| | [Llama-3.1-Nemotron-lorablated-70B.Q3_K_M.gguf](https://huggingface.co/RichardErkhov/nbeerbower_-_Llama-3.1-Nemotron-lorablated-70B-gguf/blob/main/Llama-3.1-Nemotron-lorablated-70B.Q3_K_M.gguf) | Q3_K_M | 31.91GB | | |
| | [Llama-3.1-Nemotron-lorablated-70B.Q3_K_L.gguf](https://huggingface.co/RichardErkhov/nbeerbower_-_Llama-3.1-Nemotron-lorablated-70B-gguf/blob/main/Llama-3.1-Nemotron-lorablated-70B.Q3_K_L.gguf) | Q3_K_L | 34.59GB | | |
| | [Llama-3.1-Nemotron-lorablated-70B.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/nbeerbower_-_Llama-3.1-Nemotron-lorablated-70B-gguf/blob/main/Llama-3.1-Nemotron-lorablated-70B.IQ4_XS.gguf) | IQ4_XS | 35.64GB | | |
| | [Llama-3.1-Nemotron-lorablated-70B.Q4_0.gguf](https://huggingface.co/RichardErkhov/nbeerbower_-_Llama-3.1-Nemotron-lorablated-70B-gguf/blob/main/Llama-3.1-Nemotron-lorablated-70B.Q4_0.gguf) | Q4_0 | 37.22GB | | |
| | [Llama-3.1-Nemotron-lorablated-70B.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/nbeerbower_-_Llama-3.1-Nemotron-lorablated-70B-gguf/tree/main/) | IQ4_NL | 37.58GB | | |
| | [Llama-3.1-Nemotron-lorablated-70B.Q4_K_S.gguf](https://huggingface.co/RichardErkhov/nbeerbower_-_Llama-3.1-Nemotron-lorablated-70B-gguf/tree/main/) | Q4_K_S | 37.58GB | | |
| | [Llama-3.1-Nemotron-lorablated-70B.Q4_K.gguf](https://huggingface.co/RichardErkhov/nbeerbower_-_Llama-3.1-Nemotron-lorablated-70B-gguf/tree/main/) | Q4_K | 39.6GB | | |
| | [Llama-3.1-Nemotron-lorablated-70B.Q4_K_M.gguf](https://huggingface.co/RichardErkhov/nbeerbower_-_Llama-3.1-Nemotron-lorablated-70B-gguf/tree/main/) | Q4_K_M | 39.6GB | | |
| | [Llama-3.1-Nemotron-lorablated-70B.Q4_1.gguf](https://huggingface.co/RichardErkhov/nbeerbower_-_Llama-3.1-Nemotron-lorablated-70B-gguf/tree/main/) | Q4_1 | 41.27GB | | |
| | [Llama-3.1-Nemotron-lorablated-70B.Q5_0.gguf](https://huggingface.co/RichardErkhov/nbeerbower_-_Llama-3.1-Nemotron-lorablated-70B-gguf/tree/main/) | Q5_0 | 45.32GB | | |
| | [Llama-3.1-Nemotron-lorablated-70B.Q5_K_S.gguf](https://huggingface.co/RichardErkhov/nbeerbower_-_Llama-3.1-Nemotron-lorablated-70B-gguf/tree/main/) | Q5_K_S | 45.32GB | | |
| | [Llama-3.1-Nemotron-lorablated-70B.Q5_K.gguf](https://huggingface.co/RichardErkhov/nbeerbower_-_Llama-3.1-Nemotron-lorablated-70B-gguf/tree/main/) | Q5_K | 46.52GB | | |
| | [Llama-3.1-Nemotron-lorablated-70B.Q5_K_M.gguf](https://huggingface.co/RichardErkhov/nbeerbower_-_Llama-3.1-Nemotron-lorablated-70B-gguf/tree/main/) | Q5_K_M | 46.52GB | | |
| | [Llama-3.1-Nemotron-lorablated-70B.Q5_1.gguf](https://huggingface.co/RichardErkhov/nbeerbower_-_Llama-3.1-Nemotron-lorablated-70B-gguf/tree/main/) | Q5_1 | 49.36GB | | |
| | [Llama-3.1-Nemotron-lorablated-70B.Q6_K.gguf](https://huggingface.co/RichardErkhov/nbeerbower_-_Llama-3.1-Nemotron-lorablated-70B-gguf/tree/main/) | Q6_K | 53.91GB | | |
| | [Llama-3.1-Nemotron-lorablated-70B.Q8_0.gguf](https://huggingface.co/RichardErkhov/nbeerbower_-_Llama-3.1-Nemotron-lorablated-70B-gguf/tree/main/) | Q8_0 | 69.83GB | | |
| Original model description: | |
| --- | |
| license: llama3.1 | |
| library_name: transformers | |
| tags: | |
| - mergekit | |
| - merge | |
| base_model: | |
| - nvidia/Llama-3.1-Nemotron-70B-Instruct-HF | |
| - mlabonne/Llama-3-70B-Instruct-abliterated-LORA | |
| model-index: | |
| - name: Llama-3.1-Nemotron-lorablated-70B | |
| results: | |
| - task: | |
| type: text-generation | |
| name: Text Generation | |
| dataset: | |
| name: IFEval (0-Shot) | |
| type: HuggingFaceH4/ifeval | |
| args: | |
| num_few_shot: 0 | |
| metrics: | |
| - type: inst_level_strict_acc and prompt_level_strict_acc | |
| value: 71.47 | |
| name: strict accuracy | |
| source: | |
| url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=nbeerbower/Llama-3.1-Nemotron-lorablated-70B | |
| name: Open LLM Leaderboard | |
| - task: | |
| type: text-generation | |
| name: Text Generation | |
| dataset: | |
| name: BBH (3-Shot) | |
| type: BBH | |
| args: | |
| num_few_shot: 3 | |
| metrics: | |
| - type: acc_norm | |
| value: 48.06 | |
| name: normalized accuracy | |
| source: | |
| url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=nbeerbower/Llama-3.1-Nemotron-lorablated-70B | |
| name: Open LLM Leaderboard | |
| - task: | |
| type: text-generation | |
| name: Text Generation | |
| dataset: | |
| name: MATH Lvl 5 (4-Shot) | |
| type: hendrycks/competition_math | |
| args: | |
| num_few_shot: 4 | |
| metrics: | |
| - type: exact_match | |
| value: 23.34 | |
| name: exact match | |
| source: | |
| url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=nbeerbower/Llama-3.1-Nemotron-lorablated-70B | |
| name: Open LLM Leaderboard | |
| - task: | |
| type: text-generation | |
| name: Text Generation | |
| dataset: | |
| name: GPQA (0-shot) | |
| type: Idavidrein/gpqa | |
| args: | |
| num_few_shot: 0 | |
| metrics: | |
| - type: acc_norm | |
| value: 0.89 | |
| name: acc_norm | |
| source: | |
| url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=nbeerbower/Llama-3.1-Nemotron-lorablated-70B | |
| name: Open LLM Leaderboard | |
| - task: | |
| type: text-generation | |
| name: Text Generation | |
| dataset: | |
| name: MuSR (0-shot) | |
| type: TAUR-Lab/MuSR | |
| args: | |
| num_few_shot: 0 | |
| metrics: | |
| - type: acc_norm | |
| value: 14.92 | |
| name: acc_norm | |
| source: | |
| url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=nbeerbower/Llama-3.1-Nemotron-lorablated-70B | |
| name: Open LLM Leaderboard | |
| - task: | |
| type: text-generation | |
| name: Text Generation | |
| dataset: | |
| name: MMLU-PRO (5-shot) | |
| type: TIGER-Lab/MMLU-Pro | |
| config: main | |
| split: test | |
| args: | |
| num_few_shot: 5 | |
| metrics: | |
| - type: acc | |
| value: 43.46 | |
| name: accuracy | |
| source: | |
| url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=nbeerbower/Llama-3.1-Nemotron-lorablated-70B | |
| name: Open LLM Leaderboard | |
| --- | |
|  | |
| # Llama-3.1-Nemotron-lorablated-70B | |
| An uncensored version of [nvidia/Llama-3.1-Nemotron-70B-Instruct-HF](https://huggingface.co/nvidia/Llama-3.1-Nemotron-70B-Instruct-HF) created by merging [mlabonne/Llama-3-70B-Instruct-abliterated-LORA](https://huggingface.co/mlabonne/Llama-3-70B-Instruct-abliterated-LORA) using [task arithmetic](https://arxiv.org/abs/2212.04089). | |
| ## Method | |
| This model was created using [mergekit](https://github.com/cg123/mergekit). | |
| From Ubuntu 24.04 (as root): | |
| ``` | |
| apt update | |
| apt install pipx | |
| git clone https://github.com/arcee-ai/mergekit.git | |
| cd mergekit && pipx install -e . | |
| mergekit-yaml config.yaml Llama-3.1-Nemotron-lorablated-70B --allow-crimes --lora-merge-cache=./cache | |
| ``` | |
| See [@mlabonne](https://huggingface.co/mlabonne)'s [Llama-3.1-70B-Instruct-lorablated](https://huggingface.co/mlabonne/Llama-3.1-70B-Instruct-lorablated) for more details on how the LoRA was extracted. | |
| ### Configuration | |
| The following YAML configuration was used to produce this model: | |
| ```yaml | |
| base_model: nvidia/Llama-3.1-Nemotron-70B-Instruct-HF+mlabonne/Llama-3-70B-Instruct-abliterated-LORA | |
| dtype: bfloat16 | |
| merge_method: task_arithmetic | |
| parameters: | |
| normalize: false | |
| slices: | |
| - sources: | |
| - layer_range: [0, 80] | |
| model: nvidia/Llama-3.1-Nemotron-70B-Instruct-HF+mlabonne/Llama-3-70B-Instruct-abliterated-LORA | |
| parameters: | |
| weight: 1.0 | |
| ``` | |
| ### Acknowlegements | |
| Thanks to [@mlabonne](https://huggingface.co/mlabonne), [@grimjim](https://huggingface.co/grimjim), and [@failspy](https://huggingface.co/failspy) for pioneering this technique for uncensoring models. | |
| Compute provided by [Hetzner](https://www.hetzner.com/) and funded by [Schneewolf Labs](https://schneewolflabs.com/). | |
| # [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard) | |
| Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_nbeerbower__Llama-3.1-Nemotron-lorablated-70B) | |
| | Metric |Value| | |
| |-------------------|----:| | |
| |Avg. |33.69| | |
| |IFEval (0-Shot) |71.47| | |
| |BBH (3-Shot) |48.06| | |
| |MATH Lvl 5 (4-Shot)|23.34| | |
| |GPQA (0-shot) | 0.89| | |
| |MuSR (0-shot) |14.92| | |
| |MMLU-PRO (5-shot) |43.46| | |