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Xgen 7B 8K Open Instruct Gptq by SearchUnify-ML

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Xgen 7B 8K Open Instruct Gptq is an open-source language model by SearchUnify-ML. Features: 7b LLM, VRAM: 4.2GB, Context: 8K, License: cc, Quantized, Instruction-Based, LLM Explorer Score: 0.09.

  4bit Dataset:vmware/open-instruct-v...   En   Ext 8k   Gptq   Instruct   Llama   Quantized   Region:us
Model Card on HF 🤗: https://huggingface.co/SearchUnify-ML/xgen-7b-8k-open-instruct-gptq 

Xgen 7B 8K Open Instruct Gptq Benchmarks

LLME Score: 0.08743
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Xgen 7B 8K Open Instruct Gptq (SearchUnify-ML/xgen-7b-8k-open-instruct-gptq)
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Xgen 7B 8K Open Instruct Gptq Parameters and Internals

Model Type 
text generation
Use Cases 
Areas:
text generation, cognitive search, support, self-service
Applications:
Cognitive Search, SUVA, Knowbler, Escalation Predictor, Agent Helper, Community Helper
Primary Use Cases:
Deliver accurate and contextually appropriate support and self-service experiences
Additional Notes 
This model utilizes GPTQ quantization method for a low memory footprint.
Training Details 
Data Sources:
VMware/open-instruct-v1-oasst-dolly-hhrlhf
Methodology:
Quantized to 4bit using GPTQ-for-LLaMa
Context Length:
8000
Model Architecture:
GPTQ 4bit
LLM NameXgen 7B 8K Open Instruct Gptq
Repository 🤗https://huggingface.co/SearchUnify-ML/xgen-7b-8k-open-instruct-gptq 
Base Model(s)  Xgen 7B 8K Open Instruct   VMware/xgen-7b-8k-open-instruct
Model Size7b
Required VRAM4.2 GB
Updated2026-01-08
MaintainerSearchUnify-ML
Model Typellama
Instruction-BasedYes
Model Files  4.2 GB
Supported Languagesen
GPTQ QuantizationYes
Context Length8k
Quantization Typegptq|4bit
Model ArchitectureLlamaForCausalLM
Licensecc
Context Length8192
Model Max Length8192
Transformers Version4.28.0
Tokenizer ClassXgenTokenizer
End of Sentence Token<|endoftext|>
Vocabulary Size51200
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than SearchUnify-ML/xgen-7b-8k-open-instruct-gptq.

Rank the Xgen 7B 8K Open Instruct Gptq 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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