Baichuan2-13B
Baichuan2-13B is an open-weights language model from Baichuan, released September 6, 2023. It has 13B parameters (dense). On the Epoch Capabilities Index it scores 92.0, rank 228 of 256 rated models.
Check it against your own PC →
Lab
Baichuan
Released
September 6, 2023
Weights
Open restricted use
Parameters
13B dense
Context
–
Price / M tokens
–
Epoch ECI
92.0 #228
Can you run Baichuan2-13B locally?
The smallest common GPU it runs on is 6 GB of VRAM (with 32 GB of RAM): IQ4_XS, split GPU / CPU, roughly 5 tokens per second. Estimates assume 32 GB of DDR5 RAM, a 16K context and llama.cpp-style GGUF quantization. Enter your exact hardware in the live app.
| GPU memory | Verdict | Best quant | VRAM | RAM | tok/s |
|---|---|---|---|---|---|
| 6 GB VRAM | Runs, slowly | IQ4_XS (good) | 5.2 GB | 4.8 GB | ~5 |
| 8 GB VRAM | Runs, slowly | Q4_K_M (very good) | 7.2 GB | 3.9 GB | ~6 |
| 12 GB VRAM | Runs on GPU | Q4_K_M (very good) | 11.1 GB | – | ~26 |
| 16 GB VRAM | Runs on GPU | Q6_K (≈ lossless) | 13.8 GB | – | ~27 |
| 24 GB VRAM | Runs on GPU | Q6_K (≈ lossless) | 13.8 GB | – | ~50 |
| 32 GB VRAM | Runs on GPU | Q6_K (≈ lossless) | 13.8 GB | – | ~92 |
Benchmark results
| Benchmark (Epoch AI) | Score |
|---|---|
| MMLU | 45.6% |
Links
Models with a similar score
Yi 6B · PaLM 2-S · Llama 2-34B · Falcon-40B · Qwen2.5-Coder (1.5B) · Qwen-7B