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Mistral 14B Merge Base by Vezora

 »  All LLMs  »  Vezora  »  Mistral 14B Merge Base   URL Share it on

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  Merged Model   Autotrain compatible   Endpoints compatible   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Vezora/Mistral-14b-Merge-Base 

Mistral 14B Merge Base Benchmarks

LLME Score: 0.12152
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 (Vezora/Mistral-14b-Merge-Base)
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Mistral 14B Merge Base Parameters and Internals

Additional Notes 
Model tends to over-respond with unasked questions when processing more than 512 tokens. Full fine-tuning can potentially enhance performance.
Training Details 
Data Sources:
airoboros-m-7b-3.1.2
Methodology:
SFT
Context Length:
512
Model Architecture:
Merged from Dolphin2.1-mistral-7b, Zephyr-7b-beta, MetaMath-Mistral-7B, Speechless-code-mistral-7b-v1.0 with LoRa adapter
LLM NameMistral 14B Merge Base
Repository 🤗https://huggingface.co/Vezora/Mistral-14b-Merge-Base 
Merged ModelYes
Model Size14b
Required VRAM28.4 GB
Updated2025-10-16
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

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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  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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Release v20241124
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