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Docsgpt 7B Mistral by Arc53

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  Autotrain compatible   Closed-qa   Context   Conversational   Endpoints compatible   Mistral   Rag   Region:us   Safetensors   Sharded   Tensorflow

Docsgpt 7B Mistral Benchmarks

LLME Score: 0.1774
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Docsgpt 7B Mistral Parameters and Internals

LLM NameDocsgpt 7B Mistral
Repository 🤗https://huggingface.co/Arc53/docsgpt-7b-mistral 
Model Size7b
Required VRAM14.4 GB
Updated2024-10-18
MaintainerArc53
Model Typemistral
Model Files  1.9 GB: 1-of-8   1.9 GB: 2-of-8   2.0 GB: 3-of-8   1.9 GB: 4-of-8   2.0 GB: 5-of-8   1.9 GB: 6-of-8   2.0 GB: 7-of-8   0.8 GB: 8-of-8
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.36.0.dev0
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typefloat16
Docsgpt 7B Mistral (Arc53/docsgpt-7b-mistral)

Quantized Models of the Docsgpt 7B Mistral

Model
Likes
Downloads
VRAM
Docsgpt 7B Mistral GGUF99703 GB
Docsgpt 7B Mistral AWQ1394 GB
Docsgpt 7B Mistral GPTQ2164 GB

Best Alternatives to Docsgpt 7B Mistral

Best Alternatives
Context / RAM
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...Nemo Instruct 2407 Abliterated1000K / 24.5 GB21756
MegaBeam Mistral 7B 512K512K / 14.4 GB252641
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MegaBeam Mistral 7B 300K282K / 14.4 GB106115
Hebrew Mistral 7B 200K256K / 30 GB267715
Astral 256K 7B V2250K / 14.4 GB80
Astral 256K 7B250K / 14.4 GB80
Boptruth Agatha 7B128K / 14.4 GB6080
Buddhi 128K Chat 7B128K / 14.4 GB130115
Test001128K / 14.5 GB50
Note: green Score (e.g. "73.2") means that the model is better than Arc53/docsgpt-7b-mistral.

Rank the Docsgpt 7B Mistral 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 v2024072803
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