Barcenas Mistral 7B by Danielbrdz

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  Autotrain compatible Dataset:danielbrdz/barcenas-lm...   En   Endpoints compatible   Es   Mistral   Pytorch   Region:us   Sharded

Barcenas Mistral 7B Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Barcenas Mistral 7B (Danielbrdz/Barcenas-Mistral-7b)
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Barcenas Mistral 7B Parameters and Internals

Additional Notes 
Made with โค๏ธ in Guadalupe, Nuevo Leon, Mexico ๐Ÿ‡ฒ๐Ÿ‡ฝ
Supported Languages 
en (unknown), es (unknown)
Training Details 
Data Sources:
Danielbrdz/Barcenas-lmsys-Dataset, lmsys/lmsys-chat-1m
Methodology:
fine-tuning
LLM NameBarcenas Mistral 7B
Repository ๐Ÿค—https://huggingface.co/Danielbrdz/Barcenas-Mistral-7b 
Model Size7b
Required VRAM14.4 GB
Updated2025-09-23
MaintainerDanielbrdz
Model Typemistral
Model Files  9.9 GB: 1-of-2   4.5 GB: 2-of-2
Supported Languagesen es
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.35.0.dev0
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat16

Quantized Models of the Barcenas Mistral 7B

Model
Likes
Downloads
VRAM
Barcenas Mistral 7B GGUF32413 GB
Barcenas Mistral 7B GPTQ284 GB
Barcenas Mistral 7B AWQ264 GB

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Context / RAM
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...daz Web AI ChatML 512K Project512K / 14.5 GB120
MegaBeam Mistral 7B 300K282K / 14.4 GB377916
MegaBeam Mistral 7B 300K282K / 14.4 GB809216
Hebrew Mistral 7B 200K256K / 30 GB131615
Astral 256K 7B V2250K / 14.4 GB50
Astral 256K 7B250K / 14.4 GB50
Note: green Score (e.g. "73.2") means that the model is better than Danielbrdz/Barcenas-Mistral-7b.

Rank the Barcenas Mistral 7B 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  
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Code Generation  
Multi-Language Support and Translation  

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124