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Blockchainlabs Joe Bez Seminar by alnrg2arg

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  Merged Model   Autotrain compatible   Endpoints compatible   Flemmingmiguel/mbx-7b-v3   Mistral   Region:us   Safetensors   Sharded   Tensorflow   Vanillaovo/supermario v4

Blockchainlabs Joe Bez Seminar Benchmarks

ARC: 73.98-23.2%
HellaSwag: 88.75-6.9%
MMLU: 65.17-24.7%
TruthfulQA: 71.921.9%
WinoGrande: 85.24-2.6%
GSM8K: 69.6-24.3%
nn.n% — How the model compares to the GPT-4.

Blockchainlabs Joe Bez Seminar Parameters and Internals

LLM NameBlockchainlabs Joe Bez Seminar
RepositoryOpen on 🤗 
Merged ModelYes
Model Size7b
Required VRAM14.5 GB
Updated2024-07-27
Maintaineralnrg2arg
Model Typemistral
Model Files  1.9 GB: 1-of-8   2.0 GB: 2-of-8   1.9 GB: 3-of-8   2.0 GB: 4-of-8   1.9 GB: 5-of-8   1.9 GB: 6-of-8   2.0 GB: 7-of-8   0.9 GB: 8-of-8
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.35.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typebfloat16
Blockchainlabs Joe Bez Seminar (alnrg2arg/blockchainlabs_joe_bez_seminar)

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Note: green Score (e.g. "73.2") means that the model is better than alnrg2arg/blockchainlabs_joe_bez_seminar.

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Release v2024072501
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