Quantization made by Richard Erkhov.

L3-Dark-Planet-8B - GGUF

Model creator: https://huggingface.co/DavidAU/
Original model: https://huggingface.co/DavidAU/L3-Dark-Planet-8B/

Name	Quant method	Size
L3-Dark-Planet-8B.Q2_K.gguf	Q2_K	2.96GB
L3-Dark-Planet-8B.IQ3_XS.gguf	IQ3_XS	3.28GB
L3-Dark-Planet-8B.IQ3_S.gguf	IQ3_S	3.43GB
L3-Dark-Planet-8B.Q3_K_S.gguf	Q3_K_S	3.41GB
L3-Dark-Planet-8B.IQ3_M.gguf	IQ3_M	3.52GB
L3-Dark-Planet-8B.Q3_K.gguf	Q3_K	3.74GB
L3-Dark-Planet-8B.Q3_K_M.gguf	Q3_K_M	3.74GB
L3-Dark-Planet-8B.Q3_K_L.gguf	Q3_K_L	4.03GB
L3-Dark-Planet-8B.IQ4_XS.gguf	IQ4_XS	4.18GB
L3-Dark-Planet-8B.Q4_0.gguf	Q4_0	4.34GB
L3-Dark-Planet-8B.IQ4_NL.gguf	IQ4_NL	4.38GB
L3-Dark-Planet-8B.Q4_K_S.gguf	Q4_K_S	4.37GB
L3-Dark-Planet-8B.Q4_K.gguf	Q4_K	4.58GB
L3-Dark-Planet-8B.Q4_K_M.gguf	Q4_K_M	4.58GB
L3-Dark-Planet-8B.Q4_1.gguf	Q4_1	4.78GB
L3-Dark-Planet-8B.Q5_0.gguf	Q5_0	5.21GB
L3-Dark-Planet-8B.Q5_K_S.gguf	Q5_K_S	5.21GB
L3-Dark-Planet-8B.Q5_K.gguf	Q5_K	5.34GB
L3-Dark-Planet-8B.Q5_K_M.gguf	Q5_K_M	5.34GB
L3-Dark-Planet-8B.Q5_1.gguf	Q5_1	5.65GB
L3-Dark-Planet-8B.Q6_K.gguf	Q6_K	6.14GB
L3-Dark-Planet-8B.Q8_0.gguf	Q8_0	7.95GB

Original model description:

library_name: transformers tags: - mergekit - merge base_model: [] model-index: - name: L3-Dark-Planet-8B 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: 41.34 name: strict accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=DavidAU/L3-Dark-Planet-8B 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: 29.79 name: normalized accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=DavidAU/L3-Dark-Planet-8B 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: 7.48 name: exact match source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=DavidAU/L3-Dark-Planet-8B 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: 6.71 name: acc_norm source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=DavidAU/L3-Dark-Planet-8B 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: 6.33 name: acc_norm source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=DavidAU/L3-Dark-Planet-8B 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: 30.41 name: accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=DavidAU/L3-Dark-Planet-8B name: Open LLM Leaderboard

L3-Dark-Planet-8B

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-Dark-Planet-8B-GGUF ]

For "Dark Planet Horror City 8b" :

[ https://huggingface.co/DavidAU/L3-Dark-Planet-Horror-City-8B-NEO-Imatrix-GGUF ]

(To create GGUFs for Dark Planet Horror City 8B use the ".dat" file for Imatrix in this repo )

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	20.34
IFEval (0-Shot)	41.34
BBH (3-Shot)	29.79
MATH Lvl 5 (4-Shot)	7.48
GPQA (0-shot)	6.71
MuSR (0-shot)	6.33
MMLU-PRO (5-shot)	30.41