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StableLM Zephyr 3B GGUF

Original model: StableLM Zephyr 3B Model creator: Stability AI

This repo contains GGUF format model files for Stability AI’s StableLM Zephyr 3B.

StableLM Zephyr 3B is a 3 billion parameter instruction tuned inspired by HugginFaceH4's Zephyr 7B training pipeline this model was trained on a mix of publicly available datasets, synthetic datasets using Direct Preference Optimization (DPO), evaluation for this model based on MT Bench and Alpaca Benchmark.

What is GGUF?

GGUF is a file format for representing AI models. It is the third version of the format, introduced by the llama.cpp team on August 21st 2023. It is a replacement for GGML, which is no longer supported by llama.cpp. Converted using llama.cpp b1960 (26d6076)

Prompt template: Zephyr

<|system|>
{{system_message}}<|endoftext|>
<|user|>
{{prompt}}<|endoftext|>
<|assistant|>

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Original Model Evaluations:

mt-bench

Model Size Alignment MT-Bench (score) AlpacaEval (win rate %)
StableLM Zephyr 3B 🪁 3B DPO 6.64 76.00
StableLM Zephyr (SFT only) 3B SFT 6.04 71.15
Capybara v1.9 3B dSFT 5.94 -
MPT-Chat 7B dSFT 5.42 -
Xwin-LM v0.1 7B dPPO 6.19 87.83
Mistral-Instruct v0.1 7B - 6.84 -
Zephyr-7b-α 7B dDPO 6.88 -
Zephyr-7b-β 7B dDPO 7.34 90.60
Falcon-Instruct 40B dSFT 5.17 45.71
Guanaco 65B SFT 6.41 71.80
Llama2-Chat 70B RLHF 6.86 92.66
Vicuna v1.3 33B dSFT 7.12 88.99
WizardLM v1.0 70B dSFT 7.71 -
Xwin-LM v0.1 70B dPPO - 95.57
GPT-3.5-turbo - RLHF 7.94 89.37
Claude 2 - RLHF 8.06 91.36
GPT-4 - RLHF 8.99 95.28
Task Value
ARC (25-shot) 47.0
HellaSwag (10-shot) 74.2
MMLU (5-shot) 46.3
TruthfulQA (0-shot) 46.5
Winogrande (5-shot) 65.5
GSM8K (5-shot) 42.3
BigBench (Avg) 35.26
AGI Benchmark (Avg) 33.23
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stablelm

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Inference Examples
Inference API (serverless) has been turned off for this model.

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Datasets used to train brittlewis12/stablelm-zephyr-3b-GGUF