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TestingChip by twololing1

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TestingChip is an open-source language model by twololing1. Features: 1.1b LLM, VRAM: 2.2GB, Context: 2K, License: unknown, Quantized, LLM Explorer Score: 0.14.

  Conversational   Endpoints compatible   Gguf   Llama   Quantized   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/twololing1/TestingChip 

TestingChip Benchmarks

LLME Score: 0.13836
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
TestingChip (twololing1/TestingChip)
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TestingChip Parameters and Internals

LLM NameTestingChip
Repository 🤗https://huggingface.co/twololing1/TestingChip 
Model Size1.1b
Required VRAM2.2 GB
Updated2026-04-25
Maintainertwololing1
Model Typellama
Model Files  1.0 GB: 1-of-3   1.0 GB: 2-of-3   0.2 GB: 3-of-3   1.2 GB
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureLlamaForCausalLM
Licenseunknown
Context Length2048
Model Max Length2048
Transformers Version4.41.2
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typebfloat16

Best Alternatives to TestingChip

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TinyllamaMix 1.1B32K / 2.2 GB1262
Palmer 004 240632K / 2.2 GB5740
Palmer 00432K / 2.2 GB211
TinyLlama 1.1B 32K GGUF32K / 0.5 GB1460
Tinyllama Coder Py V134K / 0.7 GB6390
Tinyllama Coder Py 4bit V104K / 0.7 GB3710
Tinyllama Coder Py 4bit V34K / 1.2 GB780
Tinyllama Coder Py V124K / 0.7 GB570
Tinyllama Coder Py 4bit V44K / 1.2 GB270
...llama PY CODER 4bit Lora 4k V54K / 0.7 GB510
Note: green Score (e.g. "73.2") means that the model is better than twololing1/TestingChip.

Rank the TestingChip 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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Release v20260328a
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