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RunpodV1 Merged 16bit by Gragroo

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RunpodV1 Merged 16bit is an open-source language model by Gragroo. Features: 3b LLM, Context: 128K, License: apache-2.0, Quantized, Instruction-Based, Merged, LLM Explorer Score: 0.17.

  Merged Model   4bit   Autotrain compatible   Conversational   En   Endpoints compatible   Instruct   Llama   Quantized   Region:us   Safetensors   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/Gragroo/runpodV1-merged_16bit 

RunpodV1 Merged 16bit Benchmarks

LLME Score: 0.16876
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
RunpodV1 Merged 16bit (Gragroo/runpodV1-merged_16bit)
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RunpodV1 Merged 16bit Parameters and Internals

LLM NameRunpodV1 Merged 16bit
Repository 🤗https://huggingface.co/Gragroo/runpodV1-merged_16bit 
Base Model(s)  unsloth/llama-3.2-3b-instruct-bnb-4bit   unsloth/llama-3.2-3b-instruct-bnb-4bit
Merged ModelYes
Model Size3b
Updated2024-11-02
MaintainerGragroo
Model Typellama
Instruction-BasedYes
Quantization Type4bit
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length131072
Model Max Length131072
Transformers Version4.44.2
Vocabulary Size128256
Torch Data Typebfloat16

Quantized Models of the RunpodV1 Merged 16bit

Model
Likes
Downloads
VRAM
TaraV2 M16B056 GB

Best Alternatives to RunpodV1 Merged 16bit

Best Alternatives
Context / RAM
Downloads
Likes
...2 3B Instruct Unsloth Bnb 4bit128K / 2.4 GB11558410
Llama32 3B En Emo 2000 Stp128K / 2.2 GB500
Llama32 3B En Emo 300 Stp128K / 2.2 GB100
Llama32 3B En Emo 1000 Stp128K / 2.2 GB60
Llama32 3B En Emo 5000 Stp128K / 2.2 GB50
...ngCore 3B Instruct R01 Reflect128K / 6.5 GB01
ReasoningCore 3B 0128K / 6.5 GB102
Security Llama3.2 3B128K / 6.5 GB42
Gladiator Mini Exp 1211 3B128K / 6.5 GB90
Orca Mini V9 0 3B Instruct128K / 6.5 GB55
Note: green Score (e.g. "73.2") means that the model is better than Gragroo/runpodV1-merged_16bit.

Rank the RunpodV1 Merged 16bit 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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