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Mergekit Passthrough Jvjpjlj by mergekit-community

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Mergekit Passthrough Jvjpjlj is an open-source language model by mergekit-community. Features: 160m LLM, VRAM: 0.4GB, Context: 2K, Merged, LLM Explorer Score: 0.18.

  Merged Model   Autotrain compatible Base model:felladrin/llama-160... Base model:finetune:felladrin/...   Conversational   Endpoints compatible   Llama   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/mergekit-community/mergekit-passthrough-jvjpjlj 

Mergekit Passthrough Jvjpjlj Benchmarks

LLME Score: 0.17749
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mergekit Passthrough Jvjpjlj (mergekit-community/mergekit-passthrough-jvjpjlj)
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Mergekit Passthrough Jvjpjlj Parameters and Internals

LLM NameMergekit Passthrough Jvjpjlj
Repository 🤗https://huggingface.co/mergekit-community/mergekit-passthrough-jvjpjlj 
Base Model(s)  Llama 160M Chat V1   Felladrin/Llama-160M-Chat-v1
Merged ModelYes
Model Size160m
Required VRAM0.4 GB
Updated2025-09-18
Maintainermergekit-community
Model Typellama
Model Files  0.4 GB: 1-of-1
Model ArchitectureLlamaForCausalLM
Context Length2048
Model Max Length2048
Transformers Version4.48.2
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typebfloat16

Best Alternatives to Mergekit Passthrough Jvjpjlj

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Context / RAM
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Llama 160M2K / 0 GB13962937
Tucano 160M2K / 0.3 GB13634
Llama 160M Chat V12K / 0.7 GB15020
Doctor Llama 160M2K / 0 GB190
TeenyTinyLlama Doc 160M2K / 0 GB100
Vicuna 160M2K / 0.7 GB9942
TeenyTinyLlama 160M2K / 0.7 GB8917
Onnx Llama 160M Chat V12K /  GB71
Vicuna 160M2K / 0.7 GB6380
Llama 160M Base2K / 0 GB360
Note: green Score (e.g. "73.2") means that the model is better than mergekit-community/mergekit-passthrough-jvjpjlj.

Rank the Mergekit Passthrough Jvjpjlj 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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