--- base_model: v000000/L3-11.5B-DuS-MoonRoot library_name: transformers tags: - mergekit - merge - llama - llama-cpp --- # Quants in repo: Q8_0 imatrix, static # v000000/L3-11.5B-DuS-MoonRoot-Q8_0-GGUF This model was converted to GGUF format from [`v000000/L3-11.5B-DuS-MoonRoot`](https://huggingface.co/v000000/L3-11.5B-DuS-MoonRoot) using llama.cpp Refer to the [original model card](https://huggingface.co/v000000/L3-11.5B-DuS-MoonRoot) for more details on the model.' ### Llama-3-11.5B-Depth-Upscaled-MoonRoot experiemental solar-like llama3 frankenmerge, no continued finetuning ![image/png](https://cdn-uploads.huggingface.co/production/uploads/64f74b6e6389380c77562762/lNgAEcW3pWd6x0x-4C3q1.png) # Pretty good understanding gets the percentage wrong but understands. ```bash user: A dead cat is placed into a box along with a nuclear isotope, a vial of poison and a radiation detector. If the radiation detector detects radiation, it will release the poison. The box is opened one day later. What is the probability of the cat being alive? assistant: The answer is 100%. Since the cat is already dead when it was placed in the box, there is no possibility for it to be alive when the box is opened... ``` Shows similar emergent language nuance abilities compared to 8B. Unaligned and somewhat lazy. Use rep_pen 1.1 # merge This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit). ## Merge Details ### Merge Method This model was merged using the passthrough merge method. ### Models Merged The following models were included in the merge: * [Cas-Warehouse/Llama-3-MopeyMule-Blackroot-8B](https://huggingface.co/Cas-Warehouse/Llama-3-MopeyMule-Blackroot-8B) * [v000000/L3-8B-Poppy-Moonfall-C](https://huggingface.co/v000000/L3-8B-Poppy-Moonfall-C) ### Configuration The following YAML configuration was used to produce this model: ---Step 3 ```yaml slices: - sources: - model: v000000/L3-8B-Poppy-Moonfall-C layer_range: [0, 24] - sources: - model: Cas-Warehouse/Llama-3-MopeyMule-Blackroot-8B layer_range: [8, 32] merge_method: passthrough dtype: bfloat16 ``` ---Step 2 ```yaml slices: - sources: - model: v000000/L3-8B-Poppy-Sunspice-experiment-c+Blackroot/Llama-3-8B-Abomination-LORA layer_range: [0, 32] - model: v000000/L3-8B-Poppy-Sunspice-experiment-c+ResplendentAI/BlueMoon_Llama3 layer_range: [0, 32] merge_method: slerp base_model: v000000/L3-8B-Poppy-Sunspice-experiment-c+Blackroot/Llama-3-8B-Abomination-LORA parameters: t: - filter: self_attn value: [0, 0.5, 0.3, 0.7, 1] - filter: mlp value: [1, 0.5, 0.7, 0.3, 0] - value: 0.5 dtype: bfloat16 random_seed: 0 ``` ---Step 1 ```yaml models: - model: crestf411/L3-8B-sunfall-abliterated-v0.2 parameters: weight: 0.1 density: 0.18 - model: Hastagaras/HALU-8B-LLAMA3-BRSLURP parameters: weight: 0.1 density: 0.3 - model: Nitral-Archive/Poppy_Porpoise-Biomix parameters: weight: 0.1 density: 0.42 - model: cgato/L3-TheSpice-8b-v0.8.3 parameters: weight: 0.2 density: 0.54 - model: Sao10K/L3-8B-Stheno-v3.2 parameters: weight: 0.2 density: 0.66 - model: Nitral-AI/Poppy_Porpoise-0.72-L3-8B parameters: weight: 0.3 density: 0.78 merge_method: dare_ties base_model: NousResearch/Meta-Llama-3-8B-Instruct parameters: int8_mask: true dtype: bfloat16 ``` --- base_model: - Cas-Warehouse/Llama-3-MopeyMule-Blackroot-8B - v000000/L3-8B-Poppy-Moonfall-C # Prompt Template: ```bash <|begin_of_text|><|start_header_id|>system<|end_header_id|> {system_prompt}<|eot_id|><|start_header_id|>user<|end_header_id|> {input}<|eot_id|><|start_header_id|>assistant<|end_header_id|> {output}<|eot_id|> ```