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Tulu 30B Fp16 by TheBloke

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  Arxiv:2302.13971   Arxiv:2304.07327   Arxiv:2306.04751   Autotrain compatible Dataset:databricks/databricks-...   Dataset:openassistant/oasst1 Dataset:sahil2801/codealpaca-2...   En   Fp16   Llama   Pytorch   Quantized   Region:us   Sharded

Tulu 30B Fp16 Benchmarks

ARC: 59.98 vs 96.7 (so35)-38%
HellaSwag: 83.4 vs 95.3 (gpt4)-12.5%
MMLU: 56.1 vs 88.3 (so35)-36.5%
TruthfulQA: 45.14 vs 59 (gpt4)-23.5%
WinoGrande: 80.82 vs 87.5 (gpt4)-7.6%
GSM8K: 19.71 vs 96.4 (so35)-79.6%
LLME Score: 0.16259
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Tulu 30B Fp16 Parameters and Internals

LLM NameTulu 30B Fp16
Repository 🤗https://huggingface.co/TheBloke/tulu-30B-fp16 
Model Size30b
Required VRAM65.2 GB
Updated2024-09-07
MaintainerTheBloke
Model Typellama
Model Files  9.8 GB: 1-of-7   10.0 GB: 2-of-7   9.9 GB: 3-of-7   9.9 GB: 4-of-7   9.9 GB: 5-of-7   10.0 GB: 6-of-7   5.7 GB: 7-of-7
Supported Languagesen
Quantization Typefp16
Model ArchitectureLlamaForCausalLM
Licenseother
Context Length2048
Model Max Length2048
Transformers Version4.30.0.dev0
Tokenizer ClassLlamaTokenizer
Vocabulary Size32001
Torch Data Typefloat16
Tulu 30B Fp16 (TheBloke/tulu-30B-fp16)

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/tulu-30B-fp16.

Rank the Tulu 30B Fp16 Capabilities

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803
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