Yi-1.5-34B-Chat
Official · BF16 · safetensors
Runtime certified: Transformers
| Precision / quantization | Format | Bits | Publisher trust | Deployment state |
|---|---|---|---|---|
| BF16 | safetensors | 16 | Official | Runtime certified |
Yi · General · Yi 1.5
Yi 1.5 34B: Specs, GPU requirements, hosting & deployment
Yi 1.5 34B is a legacy General release in the Yi family, certified from its immutable official source revision.
Total parameters34.0B
Active parametersDense model
Context window131,072 tokens
Release statusLegacy · Legacy
ArchitectureDense Transformer
ModalitiesText
LicenseApache License 2.0
Deployment stateDeployable with certified configuration
Commercial stateCommercial Use Allowed
Release date2024-05-10
Architecture, strengths and use cases
Yi 1.5 34B is an official self-hostable 01.AI release in the Yi General track. It uses Dense Transformer, carries 34B, supports a verified context window of 131,072 tokens, and exposes only source-certified checkpoints and runtime combinations. Its release, license and deployment facts are tied to the official repository revision rather than inferred from the family name.
Yi 1.5 34B uses Dense Transformer with 34B. The stored architecture profile records 64 layers, hidden width 8192, 64 attention heads and a 131,072 token context ceiling where the official configuration publishes those fields.
Verified Dense Transformer architecture
131,072 token certified context
Official BF16, Unknown checkpoint coverage
Private LLM inference
Agentic workflows
Long-context document processing
Certified checkpoints and quantizations
Only exact, source-certified variants attached to this release are shown.
Recommended hardware
Use only the listed transformers runtime configuration with the exact checkpoint precision. The recommendation engine checks weight memory, KV cache, runtime overhead, safety headroom, GPU architecture and topology before ranking rentable and reference hardware.
Estimated weight memory65.23 GB
KV cache2 GB
Runtime overhead16.92 GB
Total with safety margin104.34 GB
Recommended best value
2× NVIDIA A100 SXM 80GB
160 GB total VRAM · nvlink
55.66 GB headroom · Available
USD 1,830 / monthLowest-cost viable
5× NVIDIA L4 24GB
120 GB total VRAM · pcie
15.66 GB headroom · Available
USD 1,250 / monthHighest performance
2× NVIDIA A100 SXM 80GB
160 GB total VRAM · nvlink
55.66 GB headroom · Available
USD 1,830 / monthLicense and self-hosting considerations
The full 34B resident weight set must fit across the selected GPUs. Context and concurrency add KV-cache memory; MoE active parameters do not replace resident-weight memory.
Yi 1.5 34B is published under Apache License 2.0. The release-scoped official license link and verification date are retained with the catalogue record.
Commercial Use Allowed. The official license permits commercial use; its obligations still apply.
Release timeline
01-ai/yi/yi-1-5-34b
Source details
Source revision: df4f4134237446ef11fb6dfc47b88c245cb9defef8dc1617249150af93f0b863
Frequently asked questions
How much VRAM does Yi 1.5 34B require?
The exact estimate depends on checkpoint precision, context and concurrency; the page recommendation uses the certified memory engine and compatible runtime configurations.
Which runtimes support Yi 1.5 34B?
Certified upstream runtime evidence is available for transformers.
Can Yi 1.5 34B be used commercially?
The stored commercial classification is Commercial Use Allowed. Consult the official Apache License 2.0 terms for the final obligations.
Official references
Last verified: 2026-08-26