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Llama 3 Experiment V1 9B GGUF by grimjim

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Llama 3 Experiment V1 9B GGUF is an open-source language model by grimjim. Features: 9b LLM, VRAM: 5.4GB, Context: 8K, License: llama3, Quantized, Instruction-Based, LLM Explorer Score: 0.14.

Base model:grimjim/llama-3-exp... Base model:quantized:grimjim/l...   Conversational   En   Endpoints compatible   Gguf   Instruct   Llama   Llama-3   Meta   Pytorch   Quantized   Region:us
Model Card on HF 🤗: https://huggingface.co/grimjim/llama-3-experiment-v1-9B-GGUF 

Llama 3 Experiment V1 9B GGUF Benchmarks

LLME Score: 0.13742
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama 3 Experiment V1 9B GGUF (grimjim/llama-3-experiment-v1-9B-GGUF)
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Llama 3 Experiment V1 9B GGUF Parameters and Internals

Model Type 
text-generation
Additional Notes 
This is an experimental merge with damage tolerable as is, affecting narrative text completion.
Supported Languages 
en (Proficient)
Training Details 
Methodology:
passthrough merge method
Model Architecture:
Replication of additional layers without post-merge healing
LLM NameLlama 3 Experiment V1 9B GGUF
Repository 🤗https://huggingface.co/grimjim/llama-3-experiment-v1-9B-GGUF 
Base Model(s)  Llama 3 Experiment V1 9B   grimjim/llama-3-experiment-v1-9B
Model Size9b
Required VRAM5.4 GB
Updated2026-05-04
Maintainergrimjim
Model Typellama
Instruction-BasedYes
Model Files  6.3 GB   7.3 GB   9.5 GB   5.4 GB
Supported Languagesen
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureLlamaForCausalLM
Licensellama3
Context Length8192
Model Max Length8192
Transformers Version4.40.1
Vocabulary Size128256
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than grimjim/llama-3-experiment-v1-9B-GGUF.

Rank the Llama 3 Experiment V1 9B 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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