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Yarn Mistral 7B 128K Sharded by yanismiraoui

 »  All LLMs  »  yanismiraoui  »  Yarn Mistral 7B 128K Sharded   URL Share it on

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  Arxiv:2309.00071   Autotrain compatible   Custom code Dataset:emozilla/yarn-train-to...   En   Endpoints compatible   Mistral   Region:us   Safetensors   Sharded   Tensorflow   Yarn
Model Card on HF 🤗: https://huggingface.co/yanismiraoui/Yarn-Mistral-7b-128k-sharded 

Yarn Mistral 7B 128K Sharded Benchmarks

LLME Score: 0.15125
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Yarn Mistral 7B 128K Sharded (yanismiraoui/Yarn-Mistral-7b-128k-sharded)

Yarn Mistral 7B 128K Sharded Parameters and Internals

Model Type 
language model
Supported Languages 
en (high)
Training Details 
Data Sources:
emozilla/yarn-train-tokenized-16k-mistral
Methodology:
YaRN extension method
Context Length:
128000
Hardware Used:
JUWELS supercomputer
LLM NameYarn Mistral 7B 128K Sharded
Repository 🤗https://huggingface.co/yanismiraoui/Yarn-Mistral-7b-128k-sharded 
Model Size7b
Required VRAM29.1 GB
Updated2024-12-21
Maintaineryanismiraoui
Model Typemistral
Model Files  2.9 GB: 1-of-10   3.0 GB: 2-of-10   2.9 GB: 3-of-10   2.9 GB: 4-of-10   3.0 GB: 5-of-10   2.9 GB: 6-of-10   2.9 GB: 7-of-10   3.0 GB: 8-of-10   2.9 GB: 9-of-10   2.7 GB: 10-of-10
Supported Languagesen
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.36.0.dev0
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat32

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Note: green Score (e.g. "73.2") means that the model is better than yanismiraoui/Yarn-Mistral-7b-128k-sharded.

Rank the Yarn Mistral 7B 128K Sharded Capabilities

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Release v20241217
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