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Mistral 14B Merge Base by Vezora

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  Merged Model   Autotrain compatible   Endpoints compatible   Mistral   Region:us   Safetensors   Sharded   Tensorflow

Mistral 14B Merge Base Benchmarks

LLME Score: 0.18357
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Mistral 14B Merge Base Parameters and Internals

LLM NameMistral 14B Merge Base
Repository 🤗https://huggingface.co/Vezora/Mistral-14b-Merge-Base 
Merged ModelYes
Model Size14b
Required VRAM28.4 GB
Updated2024-09-07
MaintainerVezora
Model Typemistral
Model Files  9.0 GB: 1-of-4   8.9 GB: 2-of-4   9.0 GB: 3-of-4   1.5 GB: 4-of-4
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.34.1
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typebfloat16
Mistral 14B Merge Base (Vezora/Mistral-14b-Merge-Base)

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Context / RAM
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Qwen1.5 14B Chat Mistral32K / 28.6 GB42
Synthetic Minstrel 14B32K / 27.6 GB103
Wandering Minstrel 14B32K / 27.6 GB93
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...2.9.2 Phi 3 Medium Abliterated4K / 28 GB548916
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SauerkrautLM Phi 3 Medium4K / 28 GB438
Note: green Score (e.g. "73.2") means that the model is better than Vezora/Mistral-14b-Merge-Base.

Rank the Mistral 14B Merge Base Capabilities

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Instruction Following and Task Automation  
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Release v2024072803
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