base_model, datasets, license, license_link, language, model_creator, model_name, model_type, inference, tags, pipeline_tag, prompt_template, quantized_by
base_model
datasets
license
license_link
language
model_creator
model_name
model_type
inference
tags
pipeline_tag
prompt_template
quantized_by
stabilityai/stablelm-zephyr-3b
HuggingFaceH4/ultrachat_200k
HuggingFaceH4/ultrafeedback_binarized
meta-math/MetaMathQA
WizardLM/WizardLM_evol_instruct_V2_196k
Intel/orca_dpo_pairs
other
https://huggingface.co/stabilityai/stablelm-zephyr-3b/blob/main/LICENSE
stabilityai
stablelm-zephyr-3b
stablelm_epoch
false
text-generation
<|system|>
{{system_message}}<|endoftext|>
<|user|>
{{prompt}}<|endoftext|>
<|assistant|>
brittlewis12
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
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Original Model Evaluations:
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