Model
Model explorer

Yi-6B

OPEN
01.AI · Yi family · released Nov 2, 2023

Smaller bilingual EN/ZH sibling of Yi-34B from 01.AI's debut Yi series, trained on 3.1T tokens under Apache 2.0.

ReasoningCodingVisionFunction callingTool useAgentic
42.9
Elo · rank #397
Parameters
6B
Active params
6B (dense)
Context
4K tokens
Architecture
Dense decoder-only transformer (Llama-style, GQA, SwiGLU, RoPE with adjusted base frequency)
License
Apache 2.0
Languages
2+
API price (in/out)
No hosted API
Modalities
text
Benchmark results
Bar shows position within the tracked field; marker = field best
ARC-ChallengeReasoning50.3%#124
best: Llama 3.1 405B · 96.9%
BIG-Bench HardReasoning42.8%#109
best: ERNIE 4.5 300B-A47B · 94.3%
C-EvalKnowledge72.0%#40
best: Qwen3.6-Plus · 93.3%
CMMLUKnowledge75.5%#16
best: Doubao-1.5-Pro · 90.9%
GSM8KMath32.5%#150
best: Llama 3.1 405B · 96.8%
HellaSwagReasoning74.4%#114
best: Claude 3 Opus · 95.4%
HumanEvalCoding15.9%#174
best: Claude Opus 4.5 · 99.4%
MATH-500Math4.6%#197
best: GPT-5 · 99.4%
MBPPCoding26.3%#101
best: Llama-3.3-Nemotron-Super-49B v1 (Reasoning On) · 91.3%
MMLUKnowledge63.2%#189
best: OpenAI o3 · 92.9%
TruthfulQAKnowledge41.9%#72
best: Phi-3.5-MoE (16x3.8B, 6.6B active) · 77.5%
WinoGrandeReasoning71.3%#92
best: PaLM 2 · 90.9%
Run it locally
VRAM @ Q4
4.5 GB
VRAM @ FP16
12.1 GB
Fits on (Q4)
RTX 3060 12GBRTX 4070 Ti 16GBRTX 3090 24GBRTX 4090 24GBRTX 5090 32GBM4 Pro 48GBM3 Max 128GBM3 Ultra 512GBA100 80GBH100 80GBH200 141GBB200 192GB
Throughput data unavailable.
Quantizations
GGUF Q4_K_M · AWQ · GPTQ
Yi family
Elo progression across releases
API price weights · each benchmark row carries its own source badge (see methodology)