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AMD Llama 350M Upgraded by motionlabs

 »  All LLMs  »  motionlabs  »  AMD Llama 350M Upgraded   URL Share it on

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AMD Llama 350M Upgraded is an open-source language model by motionlabs. Features: 350m LLM, VRAM: 1.3GB, Context: 2K, License: apache-2.0, LLM Explorer Score: 0.16.

  En   Endpoints compatible   Llama   Reflex-ai   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/motionlabs/AMD-Llama-350M-Upgraded 

AMD Llama 350M Upgraded Benchmarks

LLME Score: 0.15814
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
AMD Llama 350M Upgraded (motionlabs/AMD-Llama-350M-Upgraded)
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AMD Llama 350M Upgraded Parameters and Internals

LLM NameAMD Llama 350M Upgraded
Repository 🤗https://huggingface.co/motionlabs/AMD-Llama-350M-Upgraded 
Model Size350m
Required VRAM1.3 GB
Updated2026-01-26
Maintainermotionlabs
Model Typellama
Model Files  1.3 GB
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length2048
Model Max Length2048
Transformers Version4.44.2
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32000
Torch Data Typefloat32

Best Alternatives to AMD Llama 350M Upgraded

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Context / RAM
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Llama 350M16K / 0.7 GB00
... Model On 350B GneissWeb.seed38K / 27.4 GB630
...odel On 350B FineWeb.Edu.seed38K / 27.4 GB80
...odel On 350B FineWeb.Edu.seed28K / 27.4 GB160
... Model On 350B GneissWeb.seed28K / 27.4 GB150
...on Model On 350B FineWeb.seed28K / 27.4 GB120
...on Model On 350B FineWeb.seed38K / 27.4 GB100
...on Model On 350B FineWeb.seed18K / 27.4 GB300
... Model On 350B GneissWeb.seed18K / 27.4 GB120
...odel On 350B FineWeb.Edu.seed18K / 27.4 GB120
Note: green Score (e.g. "73.2") means that the model is better than motionlabs/AMD-Llama-350M-Upgraded.

Rank the AMD Llama 350M Upgraded 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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