Who developed Yi 1.5 6B Chat Sa V0.1 and how large is it?

Yi 1.5 6B Chat Sa V0.1 is developed by langgptai, a model with 6b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does Yi 1.5 6B Chat Sa V0.1 perform on standard benchmarks?

Yi 1.5 6B Chat Sa V0.1 has the following published scores: MMLU 64.76. Compare against reference models on this page or on the LLM Explorer leaderboards.

Yi 1.5 6B Chat Sa V0.1 by langgptai

Name: Yi 1.5 6B Chat Sa V0.1
Author: langgptai

Yi 1.5 6B Chat Sa V0.1 is an open-source language model by langgptai. Features: 6b LLM, License: other, LLM Explorer Score: 0.15, Arc: 61.4, HellaSwag: 77.9, MMLU: 64.8, GSM8K: 68.7.

Adapter Base model:01-ai/yi-1.5-6b-cha... Base model:adapter:01-ai/yi-1.... Finetuned Generated from trainer Llama-factory Lora Peft Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/langgptai/Yi-1.5-6B-Chat-sa-v0.1

Yi 1.5 6B Chat Sa V0.1 Benchmarks

ARC: 61.35 vs 96.7 (so35)^-36.6%

HellaSwag: 77.93 vs 95.3 (gpt4)^-18.2%

MMLU: 64.76 vs 88.3 (so35)^-26.7%

GSM8K: 68.69 vs 96.4 (so35)^-28.7%

LLME Score: 0.14682

^nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

What is the LLM Explorer Rank (Score)

Yi 1.5 6B Chat Sa V0.1 (langgptai/Yi-1.5-6B-Chat-sa-v0.1)

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Yi 1.5 6B Chat Sa V0.1 Parameters and Internals

Training Details

Data Sources:

LangGPT_community, LangGPT_alpaca, LangGPT_seed

LLM Name	Yi 1.5 6B Chat Sa V0.1
Repository 🤗	https://huggingface.co/langgptai/Yi-1.5-6B-Chat-sa-v0.1
Base Model(s)	01-ai/Yi-1.5-6B-Chat 01-ai/Yi-1.5-6B-Chat
Model Size	6b
Required VRAM	0 GB
Updated	2025-10-05
Maintainer	langgptai
Model Files	0.0 GB 0.0 GB
Model Architecture	Adapter
License	other
Model Max Length	4096
Is Biased	none
Tokenizer Class	LlamaTokenizer
Padding Token	<unk>
PEFT Type	LORA
LoRA Model	Yes
PEFT Target Modules	v_proj\|q_proj
LoRA Alpha	16
LoRA Dropout	0
R Param	8

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Rank the Yi 1.5 6B Chat Sa V0.1 Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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