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Docsgpt 7B Mistral by Arc53

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Docsgpt 7B Mistral is an open-source language model by Arc53. Features: 7b LLM, VRAM: 14.4GB, Context: 32K, License: apache-2.0, LLM Explorer Score: 0.11.

  Closed-qa   Context   Conversational   Endpoints compatible   Mistral   Rag   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Arc53/docsgpt-7b-mistral 

Docsgpt 7B Mistral Benchmarks

LLME Score: 0.11317
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 (Arc53/docsgpt-7b-mistral)
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Docsgpt 7B Mistral Parameters and Internals

Model Type 
RAG, closed-qa, context
Use Cases 
Applications:
Documentation, RAG optimized
Primary Use Cases:
Providing answers based on context, Useful for developers and technical support teams
Additional Notes 
The model can be used for commercial purposes as it is licensed under Apache 2.0
Training Details 
Methodology:
Lora fine tuning
Input Output 
Input Format:
### Instruction (where the question goes) ### Context (your document retrieval + system instructions) ### Answer
LLM NameDocsgpt 7B Mistral
Repository 🤗https://huggingface.co/Arc53/docsgpt-7b-mistral 
Model Size7b
Required VRAM14.4 GB
Updated2026-03-30
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

Quantized Models of the Docsgpt 7B Mistral

Model
Likes
Downloads
VRAM
Docsgpt 7B Mistral GGUF98713 GB
Docsgpt 7B Mistral GPTQ2144 GB
Docsgpt 7B Mistral AWQ194 GB

Best Alternatives to Docsgpt 7B Mistral

Best Alternatives
Context / RAM
Downloads
Likes
...Nemo Instruct 2407 Abliterated1000K / 24.5 GB25420
MegaBeam Mistral 7B 512K512K / 14.4 GB844453
SpydazWeb AI HumanAI RP512K / 14.4 GB141
SpydazWeb AI HumanAI 002512K / 14.4 GB181
...daz Web AI ChatML 512K Project512K / 14.5 GB120
MegaBeam Mistral 7B 300K282K / 14.4 GB377916
MegaBeam Mistral 7B 300K282K / 14.4 GB808216
Hebrew Mistral 7B 200K256K / 30 GB125115
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 Arc53/docsgpt-7b-mistral.

Rank the Docsgpt 7B Mistral Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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