Chip 12B Instruct Alpha by lewtun

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Chip 12B Instruct Alpha is an open-source language model by lewtun. Features: 12b LLM, VRAM: 23.8GB, Context: 2K, Instruction-Based, LLM Explorer Score: 0.06.

  Endpoints compatible   Gpt neox   Instruct   Pytorch   Region:us   Sharded

Chip 12B Instruct Alpha Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Chip 12B Instruct Alpha (lewtun/chip-12B-instruct-alpha)
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Chip 12B Instruct Alpha Parameters and Internals

Model Type 
text generation
Additional Notes 
Model inspired by fictional character Chip the Robot from 'Not Quite Human'.
Supported Languages 
language (English), proficiency (Native)
Training Details 
Data Sources:
Various instruction datasets
Methodology:
Finetuned on a variety of instruction datasets
Hardware Used:
Resources provided by LAION and Stability.ai
Input Output 
Input Format:
Prompt with 'User: ' followed by a question.
Accepted Modalities:
text
Output Format:
Model responds as 'Chip:'
Performance Tips:
Supports loading the model in 8-bit to enhance performance on limited hardware.
LLM NameChip 12B Instruct Alpha
Repository ๐Ÿค—https://huggingface.co/lewtun/chip-12B-instruct-alpha 
Model Size12b
Required VRAM23.8 GB
Updated2025-12-13
Maintainerlewtun
Model Typegpt_neox
Instruction-BasedYes
Model Files  9.8 GB: 1-of-3   9.9 GB: 2-of-3   4.1 GB: 3-of-3
Model ArchitectureGPTNeoXForCausalLM
Context Length2048
Model Max Length2048
Transformers Version4.25.1
Tokenizer ClassGPTNeoXTokenizer
Vocabulary Size50277
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than lewtun/chip-12B-instruct-alpha.

Rank the Chip 12B Instruct Alpha 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