Yi 1.5 34B Chat
Yi · Apache 2.0
01.AI's 34B model with multilingual chat and reasoning.
- Parameters
- 34.4B
- Architecture
- Dense
- Context
- 32,768 tokens
- Released
- 2024-05-13
- Engines
- llama.cpp, ollama, vLLM, TGI
Parameters
34.4B
VRAM
29.5 GB
Context
32K
Formats
6
GPUs
16
Yi 1.5 34B Chat (34.4B) requires 29.5 GB VRAM at recommended quality (Q6_K). At efficient quality (Q4_K_M), it fits in 19.5 GB VRAM, making it compatible with the AMD Radeon RX 7900 XTX. On NVIDIA Grace Blackwell Ultra GB300, expect approximately 110 tok/s at Q8_0. For the best experience, High-End Home AI Server ($3,842) is recommended.
Source: OwnRig methodology
29.5 GB
Q6_K
26 GB
32K tokens
Chat
VRAM Requirements
| Quality | Quantization | VRAM | File Size |
|---|---|---|---|
| full | Q8_0 | 38 GB | 34 GB |
| recommended | Q6_K | 29.5 GB | 26 GB |
| recommended | Q5_K_M | 24.5 GB | 21 GB |
| efficient | Q4_K_M | 19.5 GB | 17 GB |
| compressed | Q3_K_M | 15.8 GB | 13.5 GB |
| compressed | Q2_K | 12.4 GB | 10.6 GB |
Context Length Impact
KV cache VRAM at Q6_K quality. Longer context = more memory.
| Context | KV Cache | Total VRAM |
|---|---|---|
| 2K | 512 MB | 30 GBexceeds 24 GB |
| 4K | 1.1 GB | 30.6 GBexceeds 24 GB |
| 8K | 2.2 GB | 31.7 GBexceeds 24 GB |
| 16K | 4.4 GB | 33.9 GBexceeds 24 GB |
| 32K | 8.7 GB | 38.2 GBexceeds 24 GB |
Compatible GPUs
16 devices| NVIDIA Grace Blackwell Ultra GB300 | Q8_0 | 110 tok/s | Excellent |
| AMD Radeon RX 7900 XTX | Q4_K_M | – | Acceptable |
| AMD Radeon Pro W7900 | Q8_0 | – | Acceptable |
| NVIDIA RTX PRO 6000 Blackwell | Q8_0 | 29 tok/s | Acceptable |
| NVIDIA RTX PRO 6000 Blackwell Max-Q | Q8_0 | 27 tok/s | Acceptable |
| AMD Radeon RX 7600 | Q3_K_M | 2 tok/s | Marginal |
| AMD Radeon RX 9070 | Q3_K_M | 4 tok/s | Marginal |
| AMD Radeon RX 9060 XT 16GB | Q3_K_M | 2 tok/s | Marginal |
| Apple M3 Pro (18GB Unified) | Q3_K_M | – | Not viable |
| NVIDIA GeForce RTX 3080 10GB | Q2_K | – | Not viable |
| NVIDIA GeForce RTX 4060 8GB | Q2_K | – | Not viable |
| NVIDIA RTX 4060 Laptop (40-60W) | Q2_K | – | Not viable |
| NVIDIA RTX 4070 Laptop (80-115W) | Q2_K | – | Not viable |
| NVIDIA GeForce RTX 4070 Ti 12GB | Q2_K | – | Not viable |
| AMD Radeon RX 9060 XT 8GB | Q3_K_M | – | Not viable |
| NVIDIA GeForce RTX 5060 8GB | Q2_K | – | Not viable |
Showing 16 of 16 entries
Frequently Asked Questions
- How much VRAM does Yi 1.5 34B Chat need?
- Yi 1.5 34B Chat requires 29.5 GB VRAM at recommended quality (Q6_K). At lower quality settings, it can fit in as little as 12.4 GB.
- What is the best GPU for Yi 1.5 34B Chat?
- The NVIDIA Grace Blackwell Ultra GB300 delivers the best performance for Yi 1.5 34B Chat, achieving 110 tok/s at Q8_0 with an excellent rating.
- What quantization should I use for Yi 1.5 34B Chat?
- For the best quality, use Q6_K (29.5 GB VRAM). If your GPU has limited VRAM, Q2_K (12.4 GB) is the most efficient option with acceptable quality.
Data confidence: estimated. Source
VRAM requirements are calculated from model parameters and may vary by inference engine, context length, and batch size. Performance estimates are based on community benchmarks and should be verified for your specific configuration.Yi is a trademark of its respective owner. OwnRig is not affiliated with or endorsed by the model creator.