TinyLlama 1.1B Step 50K 105B AWQ 4bit by TitanML

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TinyLlama 1.1B Step 50K 105B AWQ 4bit is an open-source language model by TitanML. Features: 105b LLM, VRAM: 0.8GB, Context: 2K, Quantized, LLM Explorer Score: 0.13.

  4-bit   4bit   Awq   Endpoints compatible   Llama   Quantized   Region:us   Safetensors

TinyLlama 1.1B Step 50K 105B AWQ 4bit Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

TinyLlama 1.1B Step 50K 105B AWQ 4bit Parameters and Internals

LLM NameTinyLlama 1.1B Step 50K 105B AWQ 4bit
Repository 🤗https://huggingface.co/TitanML/TinyLlama-1.1B-step-50K-105b-AWQ-4bit 
Base Model(s)  TinyLlama/TinyLlama-1.1B-step-50K-105b   TinyLlama/TinyLlama-1.1B-step-50K-105b
Model Size105b
Required VRAM0.8 GB
Updated2026-07-01
MaintainerTitanML
Model Typellama
Model Files  0.8 GB
AWQ QuantizationYes
Quantization Typeawq|4bit
Model ArchitectureLlamaForCausalLM
Context Length2048
Model Max Length2048
Transformers Version4.40.1
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat16

Best Alternatives to TinyLlama 1.1B Step 50K 105B AWQ 4bit

Best Alternatives
Context / RAM
Downloads
Likes
Anubis Pro 105B V1128K / 210.7 GB432
TinyLlama 1.1B Step 50K 105B2K / 4.4 GB20122135
TinyLlama2K / 2.2 GB60
...yLlama 1.1B Step 50K 105B ONNX2K /  GB61
Tiny Llama 1.1b Odia Ext2K / 2.2 GB90
...a 1.1B Step 50K 105B Gptq 4bit2K / 0.8 GB91
Note: green Score (e.g. "73.2") means that the model is better than TitanML/TinyLlama-1.1B-step-50K-105b-AWQ-4bit.

Rank the TinyLlama 1.1B Step 50K 105B AWQ 4bit 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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Release v20260328a