stablelm-2-zephyr-1_6b-GGUF/README.md

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-2-zephyr-1_6b	HuggingFaceH4/ultrachat_200k allenai/ultrafeedback_binarized_cleaned meta-math/MetaMathQA WizardLM/WizardLM_evol_instruct_V2_196k openchat/openchat_sharegpt4_dataset LDJnr/Capybara Intel/orca_dpo_pairs hkust-nlp/deita-10k-v0	other	https://huggingface.co/stabilityai/stablelm-2-zephyr-1_6b/blob/main/LICENSE	en	stabilityai	stablelm-2-zephyr-1_6b	stablelm_epoch	false	causal-lm stablelm_epoch	text-generation	<|system|> {{system_message}}<|endoftext|> <|user|> {{prompt}}<|endoftext|> <|assistant|>	brittlewis12

StableLM-2-Zephyr-1.6B GGUF

Original model: StableLM 2 Zephyr 1.6B Model creator: Stability AI

This repo contains GGUF format model files for Stability AI’s StableLM 2 Zephyr 1.6B.

Stable LM 2 Zephyr 1.6B is a 1.6 billion parameter instruction tuned language model inspired by HugginFaceH4's Zephyr 7B training pipeline. The model is trained on a mix of publicly available datasets and synthetic datasets, utilizing Direct Preference Optimization (DPO).

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 an proposed version of llama.cpp (PR #5052)

Prompt template: Zephyr

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

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Download & run with cnvrs on iPhone, iPad, and Mac!

cnvrs is the best app for private, local AI on your device:

• create & save Characters with custom system prompts & temperature settings
• download and experiment with any GGUF model you can find on HuggingFace!
• make it your own with custom Theme colors
• powered by Metal ⚡️ & Llama.cpp, with haptics during response streaming!
• try it out yourself today, on Testflight!
• follow cnvrs on twitter to stay up to date

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Original Model Evaluations:

Model	Size	MT-Bench
Mistral-7B-Instruct-v0.2	7B	7.61
Llama2-Chat	70B	6.86
stablelm-zephyr-3b	3B	6.64
MPT-30B-Chat	30B	6.39
stablelm-2-zephyr-1.6b	1.6B	5.42
Falcon-40B-Instruct	40B	5.17
Qwen-1.8B-Chat	1.8B	4.95
dolphin-2.6-phi-2	2.7B	4.93
phi-2	2.7B	4.29
TinyLlama-1.1B-Chat-v1.0	1.1B	3.46

OpenLLM Leaderboard

Model	Size	Average	ARC Challenge (acc_norm)	HellaSwag (acc_norm)	MMLU (acc_norm)	TruthfulQA (mc2)	Winogrande (acc)	Gsm8k (acc)
microsoft/phi-2	2.7B	61.32%	61.09%	75.11%	58.11%	44.47%	74.35%	54.81%
stabilityai/stablelm-2-zephyr-1_6b	1.6B	49.89%	43.69%	69.34%	41.85%	45.21%	64.09%	35.18%
microsoft/phi-1_5	1.3B	47.69%	52.90%	63.79%	43.89%	40.89%	72.22%	12.43%
stabilityai/stablelm-2-1_6b	1.6B	45.54%	43.43%	70.49%	38.93%	36.65%	65.90%	17.82%
mosaicml/mpt-7b	7B	44.28%	47.70%	77.57%	30.80%	33.40%	72.14%	4.02%
KnutJaegersberg/Qwen-1_8B-Llamaified*	1.8B	44.75%	37.71%	58.87%	46.37%	39.41%	61.72%	24.41%
openlm-research/open_llama_3b_v2	3B	40.28%	40.27%	71.60%	27.12%	34.78%	67.01%	0.91%
iiuae/falcon-rw-1b	1B	37.07%	35.07%	63.56%	25.28%	35.96%	62.04%	0.53%
TinyLlama/TinyLlama-1.1B-3T	1.1B	36.40%	33.79%	60.31%	26.04%	37.32%	59.51%	1.44%