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MHENN4 GGUF by netcat420

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MHENN4 GGUF is an open-source language model by netcat420. Features: LLM, VRAM: 4.4GB, Context: 32K, License: mit, Quantized, LLM Explorer Score: 0.11.

  Adapter-transformers   Dataset:netcat420/mhenn4   Endpoints compatible   Gguf   Mistral   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/netcat420/MHENN4-GGUF 

MHENN4 GGUF Benchmarks

LLME Score: 0.11407
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
MHENN4 GGUF (netcat420/MHENN4-GGUF)
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MHENN4 GGUF Parameters and Internals

LLM NameMHENN4 GGUF
Repository 🤗https://huggingface.co/netcat420/MHENN4-GGUF 
Required VRAM4.4 GB
Updated2026-05-20
Maintainernetcat420
Model Typemistral
Model Files  4.4 GB
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureMistralForCausalLM
Licensemit
Context Length32768
Model Max Length32768
Transformers Version4.34.0.dev0
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typebfloat16

Best Alternatives to MHENN4 GGUF

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Context / RAM
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...istral Nemo Instruct 2407 GGUF1000K / 4.8 GB207466
...istral Nemo Instruct 2407 GGUF1000K / 4.8 GB110011
Devstral Small 2505 GGUF128K / 0.9 GB157110115
...istral C64Wizard Instruct GGUF32K / 4.4 GB260
...dle Snorkel Mistral PairRM DPO32K / 14.4 GB870
Mistral 7B1.0 GGUF32K / 5.1 GB70
Candle MistralTrix V132K / 17.9 GB1370
Equall Saul Instruct V132K / 5.1 GB90
AI G Expander V5 GGUF32K / 4.4 GB60
Candle Tiny Mistral32K / 0.4 GB310
Note: green Score (e.g. "73.2") means that the model is better than netcat420/MHENN4-GGUF.

Rank the MHENN4 GGUF 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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