Quantization made by Richard Erkhov. [Github](https://github.com/RichardErkhov) [Discord](https://discord.gg/pvy7H8DZMG) [Request more models](https://github.com/RichardErkhov/quant_request) FrankenVillain-7B-v1 - GGUF - Model creator: https://huggingface.co/luqmanxyz/ - Original model: https://huggingface.co/luqmanxyz/FrankenVillain-7B-v1/ | Name | Quant method | Size | | ---- | ---- | ---- | | [FrankenVillain-7B-v1.Q2_K.gguf](https://huggingface.co/RichardErkhov/luqmanxyz_-_FrankenVillain-7B-v1-gguf/blob/main/FrankenVillain-7B-v1.Q2_K.gguf) | Q2_K | 3.73GB | | [FrankenVillain-7B-v1.IQ3_XS.gguf](https://huggingface.co/RichardErkhov/luqmanxyz_-_FrankenVillain-7B-v1-gguf/blob/main/FrankenVillain-7B-v1.IQ3_XS.gguf) | IQ3_XS | 4.14GB | | [FrankenVillain-7B-v1.IQ3_S.gguf](https://huggingface.co/RichardErkhov/luqmanxyz_-_FrankenVillain-7B-v1-gguf/blob/main/FrankenVillain-7B-v1.IQ3_S.gguf) | IQ3_S | 4.37GB | | [FrankenVillain-7B-v1.Q3_K_S.gguf](https://huggingface.co/RichardErkhov/luqmanxyz_-_FrankenVillain-7B-v1-gguf/blob/main/FrankenVillain-7B-v1.Q3_K_S.gguf) | Q3_K_S | 4.34GB | | [FrankenVillain-7B-v1.IQ3_M.gguf](https://huggingface.co/RichardErkhov/luqmanxyz_-_FrankenVillain-7B-v1-gguf/blob/main/FrankenVillain-7B-v1.IQ3_M.gguf) | IQ3_M | 4.51GB | | [FrankenVillain-7B-v1.Q3_K.gguf](https://huggingface.co/RichardErkhov/luqmanxyz_-_FrankenVillain-7B-v1-gguf/blob/main/FrankenVillain-7B-v1.Q3_K.gguf) | Q3_K | 4.84GB | | [FrankenVillain-7B-v1.Q3_K_M.gguf](https://huggingface.co/RichardErkhov/luqmanxyz_-_FrankenVillain-7B-v1-gguf/blob/main/FrankenVillain-7B-v1.Q3_K_M.gguf) | Q3_K_M | 4.84GB | | [FrankenVillain-7B-v1.Q3_K_L.gguf](https://huggingface.co/RichardErkhov/luqmanxyz_-_FrankenVillain-7B-v1-gguf/blob/main/FrankenVillain-7B-v1.Q3_K_L.gguf) | Q3_K_L | 5.26GB | | [FrankenVillain-7B-v1.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/luqmanxyz_-_FrankenVillain-7B-v1-gguf/blob/main/FrankenVillain-7B-v1.IQ4_XS.gguf) | IQ4_XS | 5.43GB | | [FrankenVillain-7B-v1.Q4_0.gguf](https://huggingface.co/RichardErkhov/luqmanxyz_-_FrankenVillain-7B-v1-gguf/blob/main/FrankenVillain-7B-v1.Q4_0.gguf) | Q4_0 | 5.66GB | | [FrankenVillain-7B-v1.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/luqmanxyz_-_FrankenVillain-7B-v1-gguf/blob/main/FrankenVillain-7B-v1.IQ4_NL.gguf) | IQ4_NL | 5.72GB | | [FrankenVillain-7B-v1.Q4_K_S.gguf](https://huggingface.co/RichardErkhov/luqmanxyz_-_FrankenVillain-7B-v1-gguf/blob/main/FrankenVillain-7B-v1.Q4_K_S.gguf) | Q4_K_S | 5.7GB | | [FrankenVillain-7B-v1.Q4_K.gguf](https://huggingface.co/RichardErkhov/luqmanxyz_-_FrankenVillain-7B-v1-gguf/blob/main/FrankenVillain-7B-v1.Q4_K.gguf) | Q4_K | 6.02GB | | [FrankenVillain-7B-v1.Q4_K_M.gguf](https://huggingface.co/RichardErkhov/luqmanxyz_-_FrankenVillain-7B-v1-gguf/blob/main/FrankenVillain-7B-v1.Q4_K_M.gguf) | Q4_K_M | 6.02GB | | [FrankenVillain-7B-v1.Q4_1.gguf](https://huggingface.co/RichardErkhov/luqmanxyz_-_FrankenVillain-7B-v1-gguf/blob/main/FrankenVillain-7B-v1.Q4_1.gguf) | Q4_1 | 6.27GB | | [FrankenVillain-7B-v1.Q5_0.gguf](https://huggingface.co/RichardErkhov/luqmanxyz_-_FrankenVillain-7B-v1-gguf/blob/main/FrankenVillain-7B-v1.Q5_0.gguf) | Q5_0 | 6.89GB | | [FrankenVillain-7B-v1.Q5_K_S.gguf](https://huggingface.co/RichardErkhov/luqmanxyz_-_FrankenVillain-7B-v1-gguf/blob/main/FrankenVillain-7B-v1.Q5_K_S.gguf) | Q5_K_S | 6.89GB | | [FrankenVillain-7B-v1.Q5_K.gguf](https://huggingface.co/RichardErkhov/luqmanxyz_-_FrankenVillain-7B-v1-gguf/blob/main/FrankenVillain-7B-v1.Q5_K.gguf) | Q5_K | 7.08GB | | [FrankenVillain-7B-v1.Q5_K_M.gguf](https://huggingface.co/RichardErkhov/luqmanxyz_-_FrankenVillain-7B-v1-gguf/blob/main/FrankenVillain-7B-v1.Q5_K_M.gguf) | Q5_K_M | 7.08GB | | [FrankenVillain-7B-v1.Q5_1.gguf](https://huggingface.co/RichardErkhov/luqmanxyz_-_FrankenVillain-7B-v1-gguf/blob/main/FrankenVillain-7B-v1.Q5_1.gguf) | Q5_1 | 7.51GB | | [FrankenVillain-7B-v1.Q6_K.gguf](https://huggingface.co/RichardErkhov/luqmanxyz_-_FrankenVillain-7B-v1-gguf/blob/main/FrankenVillain-7B-v1.Q6_K.gguf) | Q6_K | 8.2GB | | [FrankenVillain-7B-v1.Q8_0.gguf](https://huggingface.co/RichardErkhov/luqmanxyz_-_FrankenVillain-7B-v1-gguf/blob/main/FrankenVillain-7B-v1.Q8_0.gguf) | Q8_0 | 10.62GB | Original model description: --- license: apache-2.0 tags: - merge - mergekit - jeonsworld/CarbonVillain-en-10.7B-v1 - jeonsworld/CarbonVillain-en-10.7B-v1 base_model: - jeonsworld/CarbonVillain-en-10.7B-v1 - jeonsworld/CarbonVillain-en-10.7B-v1 model-index: - name: FrankenVillain-7B-v1 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: 42.75 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=luqmanxyz/FrankenVillain-7B-v1 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: 51.52 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=luqmanxyz/FrankenVillain-7B-v1 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: 48.6 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=luqmanxyz/FrankenVillain-7B-v1 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: 56.19 source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=luqmanxyz/FrankenVillain-7B-v1 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: 73.01 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=luqmanxyz/FrankenVillain-7B-v1 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: 0.0 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=luqmanxyz/FrankenVillain-7B-v1 name: Open LLM Leaderboard --- # FrankenVillain-7B-v1 FrankenVillain-7B-v1 is a Franken merge of the following models using [mergekit](https://github.com/cg123/mergekit * [jeonsworld/CarbonVillain-en-10.7B-v1](https://huggingface.co/jeonsworld/CarbonVillain-en-10.7B-v1) * [jeonsworld/CarbonVillain-en-10.7B-v1](https://huggingface.co/jeonsworld/CarbonVillain-en-10.7B-v1) ## 🧩 Configuration ```yaml slices: - sources: - model: jeonsworld/CarbonVillain-en-10.7B-v1 layer_range: [0, 24] - sources: - model: jeonsworld/CarbonVillain-en-10.7B-v1 layer_range: [8, 32] merge_method: passthrough dtype: bfloat16 ``` ## 💻 Usage ```python !pip install -qU transformers accelerate from transformers import AutoTokenizer import transformers import torch model = "luqmanxyz/FrankenVillain-7B-v1" messages = [{"role": "user", "content": "What are the 3 planets closest to the sun"}] tokenizer = AutoTokenizer.from_pretrained(model) prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True) pipeline = transformers.pipeline( "text-generation", model=model, torch_dtype=torch.float16, device_map="auto", ) outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95) print(outputs[0]["generated_text"]) ``` # [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_luqmanxyz__FrankenVillain-7B-v1) | Metric |Value| |---------------------------------|----:| |Avg. |45.34| |AI2 Reasoning Challenge (25-Shot)|42.75| |HellaSwag (10-Shot) |51.52| |MMLU (5-Shot) |48.60| |TruthfulQA (0-shot) |56.19| |Winogrande (5-shot) |73.01| |GSM8k (5-shot) | 0.00|