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Assistant Dolphin 2.2.1 Mistral 7B E1 AWQ by wasertech

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Assistant Dolphin 2.2.1 Mistral 7B E1 AWQ is an open-source language model by wasertech. Features: 7b LLM, VRAM: 4.2GB, Context: 32K, License: apache-2.0, Quantized, LLM Explorer Score: 0.12.

  4-bit   Awq   Conversational   Dataset:wasertech/oneos   En   Endpoints compatible   Fr   Mistral   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/wasertech/assistant-dolphin-2.2.1-mistral-7b-e1-awq 

Assistant Dolphin 2.2.1 Mistral 7B E1 AWQ Benchmarks

LLME Score: 0.12285
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Assistant Dolphin 2.2.1 Mistral 7B E1 AWQ (wasertech/assistant-dolphin-2.2.1-mistral-7b-e1-awq)
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Assistant Dolphin 2.2.1 Mistral 7B E1 AWQ Parameters and Internals

Model Type 
Natural Language Processing, Text Understanding, Text Generation
Use Cases 
Areas:
Natural Language Processing
Primary Use Cases:
Improve text understanding and generation
Limitations:
Specific limitations depend on training and evaluation data
Additional Notes 
This model is a quantized version using AWQ.
Supported Languages 
en (proficient), fr (proficient)
Training Details 
Data Sources:
OneOS dataset
Methodology:
Fine-tuned
LLM NameAssistant Dolphin 2.2.1 Mistral 7B E1 AWQ
Repository 🤗https://huggingface.co/wasertech/assistant-dolphin-2.2.1-mistral-7b-e1-awq 
Model Size7b
Required VRAM4.2 GB
Updated2026-05-18
Maintainerwasertech
Model Typemistral
Model Files  4.2 GB
Supported Languagesen fr
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.38.2
Tokenizer ClassLlamaTokenizer
Padding Token<|im_end|>
Vocabulary Size32002
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than wasertech/assistant-dolphin-2.2.1-mistral-7b-e1-awq.

Rank the Assistant Dolphin 2.2.1 Mistral 7B E1 AWQ 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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