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RedPajama INCITE Chat Instruct 3B V1 by acrastt

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Model Card on HF 🤗: https://huggingface.co/acrastt/RedPajama-INCITE-Chat-Instruct-3B-V1 

RedPajama INCITE Chat Instruct 3B V1 Benchmarks

ARC: 42.58 vs 96.7 (so35)-56%
HellaSwag: 67.48 vs 95.3 (gpt4)-29.2%
MMLU: 25.99 vs 88.3 (so35)-70.6%
TruthfulQA: 33.62 vs 59 (gpt4)-43%
WinoGrande: 64.8 vs 87.5 (gpt4)-25.9%
GSM8K: 0.91 vs 96.4 (so35)-99.1%
LLME Score: 0.17656
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
RedPajama INCITE Chat Instruct 3B V1 (acrastt/RedPajama-INCITE-Chat-Instruct-3B-V1)

RedPajama INCITE Chat Instruct 3B V1 Parameters and Internals

Model Type 
text-generation
Additional Notes 
This is an experimental merge of models RedPajama-INCITE-Chat-3B-V1 and RedPajama-INCITE-Instruct-3B-V1. GGML versions available with specific software compatibility.
Input Output 
Input Format:
HUMAN: {prompt}
Output Format:
ASSISTANT: {response}
Performance Tips:
Adaptive to prompt templates, recommendations provided.
LLM NameRedPajama INCITE Chat Instruct 3B V1
Repository 🤗https://huggingface.co/acrastt/RedPajama-INCITE-Chat-Instruct-3B-V1 
Model Size3b
Required VRAM5.5 GB
Updated2025-02-05
Maintaineracrastt
Model Typegpt_neox
Instruction-BasedYes
Model Files  5.5 GB   5.5 GB
Supported Languagesen
Model ArchitectureGPTNeoXForCausalLM
Licenseapache-2.0
Context Length2048
Model Max Length2048
Transformers Version4.31.0
Tokenizer ClassGPTNeoXTokenizer
Vocabulary Size50432
Torch Data Typefloat16

Quantized Models of the RedPajama INCITE Chat Instruct 3B V1

Model
Likes
Downloads
VRAM
...ama INCITE Instruct 3B V1 GGML1091 GB

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...edPajama INCITE Instruct 3B V12K / 5.7 GB216293
...blecode Instruct Alpha 3B GPTQ4K / 1.8 GB1717
...blecode Instruct Alpha 3B GPTQ4K / 1.8 GB61
...ama INCITE Instruct 3B V1 GGML2K / 1.7 GB910
Note: green Score (e.g. "73.2") means that the model is better than acrastt/RedPajama-INCITE-Chat-Instruct-3B-V1.

Rank the RedPajama INCITE Chat Instruct 3B V1 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 v20241227
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