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Seraph 7B GPTQ by TheBloke

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Seraph 7B GPTQ is an open-source language model by TheBloke. Features: 7b LLM, VRAM: 4.2GB, Context: 32K, License: cc-by-nc-4.0, Quantized, LLM Explorer Score: 0.11.

  4-bit Base model:quantized:weyaxi/se...   Base model:weyaxi/seraph-7b   Gptq   Mistral   Quantized   Region:us   Safetensors
Model Card on HF πŸ€—: https://huggingface.co/TheBloke/Seraph-7B-GPTQ 

Seraph 7B GPTQ Benchmarks

LLME Score: 0.10918
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Seraph 7B GPTQ (TheBloke/Seraph-7B-GPTQ)
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Seraph 7B GPTQ Parameters and Internals

LLM NameSeraph 7B GPTQ
Repository πŸ€—https://huggingface.co/TheBloke/Seraph-7B-GPTQ 
Model NameSeraph 7B
Model CreatorYağız ÇalΔ±k
Base Model(s)  Seraph 7B   Weyaxi/Seraph-7B
Model Size7b
Required VRAM4.2 GB
Updated2026-04-03
MaintainerTheBloke
Model Typemistral
Model Files  4.2 GB
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureMistralForCausalLM
Licensecc-by-nc-4.0
Context Length32768
Model Max Length32768
Transformers Version4.36.0.dev0
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typebfloat16

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Cosmosage V232K / 4.2 GB74
...phyr 7B Beta Assistant V1 Gptq32K / 4.2 GB11
Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Seraph-7B-GPTQ.

Rank the Seraph 7B GPTQ Capabilities

πŸ†˜ 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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