FuseChat 7B VaRM AWQ by cnmoro

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FuseChat 7B VaRM AWQ is an open-source language model by cnmoro. Features: 7b LLM, VRAM: 4.2GB, Context: 8K, Quantized, LLM Explorer Score: 0.13, Arc: 62.9, HellaSwag: 84.3, MMLU: 63.7, GSM8K: 63.5.

  4-bit   Autotrain compatible   Awq   Conversational   Endpoints compatible   Mistral   Quantized   Region:us   Safetensors

FuseChat 7B VaRM AWQ Benchmarks

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

FuseChat 7B VaRM AWQ Parameters and Internals

LLM NameFuseChat 7B VaRM AWQ
Repository 🤗https://huggingface.co/cnmoro/FuseChat-7B-VaRM-AWQ 
Base Model(s)  FuseChat 7B VaRM   FuseAI/FuseChat-7B-VaRM
Model Size7b
Required VRAM4.2 GB
Updated2024-12-05
Maintainercnmoro
Model Typemistral
Model Files  4.2 GB
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureMistralForCausalLM
Context Length8192
Model Max Length8192
Transformers Version4.38.1
Tokenizer ClassLlamaTokenizer
Vocabulary Size32002
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than cnmoro/FuseChat-7B-VaRM-AWQ.

Rank the FuseChat 7B VaRM 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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Release v20260328a