--- library_name: transformers tags: - mergekit - merge base_model: [] model-index: - name: L3-Lumimaid-12.2B-v0.1-OAS-Instruct 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: 39.24 name: strict accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=DavidAU/L3-Lumimaid-12.2B-v0.1-OAS-Instruct 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: 24.5 name: normalized accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=DavidAU/L3-Lumimaid-12.2B-v0.1-OAS-Instruct 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: 3.85 name: exact match source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=DavidAU/L3-Lumimaid-12.2B-v0.1-OAS-Instruct 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: 3.58 name: acc_norm source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=DavidAU/L3-Lumimaid-12.2B-v0.1-OAS-Instruct 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: 11.26 name: acc_norm source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=DavidAU/L3-Lumimaid-12.2B-v0.1-OAS-Instruct 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: 23.8 name: accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=DavidAU/L3-Lumimaid-12.2B-v0.1-OAS-Instruct name: Open LLM Leaderboard --- # L3-Lumimaid-12.2B-v0.1-OAS-Instruct - Float32 This repo contains the full precision source code, in "safe tensors" format to generate GGUFs, GPTQ, EXL2, AWQ, HQQ and other formats. The source code can also be used directly. IMPORTANT: Highest Quality Settings / Optimal Operation Guide / Parameters and Samplers If you are going to use this model, (source, GGUF or a different quant), please review this document for critical parameter, sampler and advance sampler settings (for multiple AI/LLM aps). This a "Class 2" (settings will enhance operation / optional adjustments) model: For all settings used for this model (including specifics for its "class"), including example generation(s) and for advanced settings guide (which many times addresses any model issue(s)), including methods to improve model performance for all use case(s) as well as chat, roleplay and other use case(s) (especially for use case(s) beyond the model's design) please see: [ https://huggingface.co/DavidAU/Maximizing-Model-Performance-All-Quants-Types-And-Full-Precision-by-Samplers_Parameters ] REASON: Regardless of "model class" this document will detail methods to enhance operations. If the model is a Class 3/4 model the default settings (parameters, samplers, advanced samplers) must be set for "use case(s)" uses correctly. Some AI/LLM apps DO NOT have consistant default setting(s) which result in sub-par model operation. Like wise for Class 3/4 models (which operate somewhat to very differently than standard models) additional samplers and advanced samplers settings are required to "smooth out" operation, AND/OR also allow full operation for use cases the model was not designed for. BONUS - Use these settings for ANY model, ANY repo, ANY quant (including source/full precision): This document also details parameters, sampler and advanced samplers that can be use FOR ANY MODEL, FROM ANY REPO too - all quants, and of course source code operation too - to enhance the operation of any model. [ https://huggingface.co/DavidAU/Maximizing-Model-Performance-All-Quants-Types-And-Full-Precision-by-Samplers_Parameters ] NOTE: I strongly suggest you also visit the DavidAU GGUF (below) repo too for more details in using this model ; especially if it is "Class 3" or "Class 4" to get maximum performance from the model. For full information about this model, including: - Details about this model and its use case(s). - Context limits - Special usage notes / settings. - Any model(s) used to create this model. - Template(s) used to access/use this model. - Example generation(s) - GGUF quants of this model Please go to: [ https://huggingface.co/DavidAU/L3-Lumimaid-v0.1-OAS-12.2B-INSTRUCT-ULTRA-F32-GGUF ] Additional Quants: [ https://huggingface.co/RichardErkhov/DavidAU_-_L3-Lumimaid-12.2B-v0.1-OAS-Instruct-gguf ] Imatrix: [ https://huggingface.co/mradermacher/L3-Lumimaid-12.2B-v0.1-OAS-Instruct-i1-GGUF ] [ https://huggingface.co/mradermacher/L3-Lumimaid-12.2B-v0.1-OAS-Instruct-GGUF ] --- 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: * G:/7B/Meta-Llama-3-8B-Instruct * G:/7B/Llama-3-Lumimaid-8B-v0.1-OAS ### Configuration The following YAML configuration was used to produce this model: ```yaml slices: - sources: - model: G:/7B/Meta-Llama-3-8B-Instruct layer_range: [0, 12] - sources: - model: G:/7B/Llama-3-Lumimaid-8B-v0.1-OAS layer_range: [6, 19] parameters: scale: - filter: o_proj value: 1 - filter: down_proj value: 1 - value: 1 - sources: - model: G:/7B/Meta-Llama-3-8B-Instruct layer_range: [12, 18] parameters: scale: - filter: o_proj value: .5 - filter: down_proj value: .5 - value: 1 - sources: - model: G:/7B/Meta-Llama-3-8B-Instruct layer_range: [18, 25] parameters: scale: - filter: o_proj value: .75 - filter: down_proj value: .75 - value: 1 - sources: - model: G:/7B/Llama-3-Lumimaid-8B-v0.1-OAS layer_range: [19, 32] parameters: scale: - filter: o_proj value: 1 - filter: down_proj value: 1 - value: 1 merge_method: passthrough dtype: float32 ``` # [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_DavidAU__L3-Lumimaid-12.2B-v0.1-OAS-Instruct) | Metric |Value| |-------------------|----:| |Avg. |17.71| |IFEval (0-Shot) |39.24| |BBH (3-Shot) |24.50| |MATH Lvl 5 (4-Shot)| 3.85| |GPQA (0-shot) | 3.58| |MuSR (0-shot) |11.26| |MMLU-PRO (5-shot) |23.80|