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L3-Lumimaid-12.2B-v0.1-OAS-Instruct - GGUF

Original model description:

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.

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 ]

This is a merge of pre-trained language models created using 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:

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

Detailed results can be found here

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
Downloads last month
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GGUF
Model size
12.2B params
Architecture
llama
Hardware compatibility
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