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PULI LlumiX 32K by NYTK

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PULI LlumiX 32K Benchmarks

MMLU Pro: 7.56
GPQA: 0.45
MUSR: 7.72
BBH: 5.11
IFEval: 17 vs 88 (so35)-80.7%
ARC: 48.63 vs 96.7 (so35)-49.7%
HellaSwag: 75 vs 95.3 (gpt4)-21.3%
MMLU: 41.65 vs 88.3 (so35)-52.8%
TruthfulQA: 36.93 vs 59 (gpt4)-37.4%
WinoGrande: 68.03 vs 87.5 (gpt4)-22.3%
GSM8K: 6.07 vs 96.4 (so35)-93.7%
MATH Lvl 5: 0.6
LLME Score: 0.27462
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

PULI LlumiX 32K Parameters and Internals

LLM NamePULI LlumiX 32K
Repository 🤗https://huggingface.co/NYTK/PULI-LlumiX-32K 
Model Size7b
Required VRAM13.5 GB
Updated2024-10-18
MaintainerNYTK
Model Typellama
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   3.6 GB: 3-of-3
Supported Languageshu en
Model ArchitectureLlamaForCausalLM
Licensellama2
Context Length32768
Model Max Length32768
Transformers Version4.36.0.dev0
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typefloat16
PULI LlumiX 32K (NYTK/PULI-LlumiX-32K)

Quantized Models of the PULI LlumiX 32K

Model
Likes
Downloads
VRAM
...LI LlumiX 32K Instruct F16 0.211513 GB
...LI LlumiX 32K Instruct F16 0.10813 GB

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Lloma Step40064K / 13.5 GB570
Lloma Step20064K / 13.5 GB600
Note: green Score (e.g. "73.2") means that the model is better than NYTK/PULI-LlumiX-32K.

Rank the PULI LlumiX 32K Capabilities

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Release v2024072803
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