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Emissions Extraction Lora Merged GGUF by nopperl

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Emissions Extraction Lora Merged GGUF is an open-source language model by nopperl. Features: 7b LLM, VRAM: 5.1GB, Context: 32K, License: apache-2.0, Quantized, Instruction-Based, Merged, LLM Explorer Score: 0.11.

  Merged Model   Endpoints compatible   Ggml   Gguf   Instruct   Lora   Mistral   Q5   Quantized   Region:us
Model Card on HF 🤗: https://huggingface.co/nopperl/emissions-extraction-lora-merged-GGUF 

Emissions Extraction Lora Merged GGUF Benchmarks

LLME Score: 0.11462
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Emissions Extraction Lora Merged GGUF (nopperl/emissions-extraction-lora-merged-GGUF)
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Emissions Extraction Lora Merged GGUF Parameters and Internals

Additional Notes 
Converted into GGUF format and quantized. Can be used with llama.cpp.
LLM NameEmissions Extraction Lora Merged GGUF
Repository 🤗https://huggingface.co/nopperl/emissions-extraction-lora-merged-GGUF 
Merged ModelYes
Model Size7b
Required VRAM5.1 GB
Updated2026-05-15
Maintainernopperl
Model Typemistral
Instruction-BasedYes
Model Files  5.1 GB
GGML QuantizationYes
GGUF QuantizationYes
Quantization Typegguf|ggml|q5|q5_k
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.37.1
Vocabulary Size32000
LoRA ModelYes
Torch Data Typefloat32

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Note: green Score (e.g. "73.2") means that the model is better than nopperl/emissions-extraction-lora-merged-GGUF.

Rank the Emissions Extraction Lora Merged GGUF 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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