RWKV-6 Finch 1.6B
RWKV-6 Finch 1.6B is a released long context model with open-source and Infinite context; evaluate it while provider pricing coverage matures.
Use it for
- Teams evaluating long context
- Workloads that can use a Infinite context window
Do not use it for
- Cost-sensitive launches that need sourced token pricing
- Vision or document-understanding workloads
- Strict JSON or tool-calling flows
- Family
- RWKV-6 Finch
- Released
- 2024-04-09
- Context
- Infinite
- Parameters
- 1.6B
- Architecture
- Decoder Only
- Specialization
- general
- Openness
- Open source
- License
- Apache 2.0OSI-approvedCommercial use: permitted
- Weights
- Available
- Code
- Unknown
- Training
- Pretrained
Linear complexity language models combining the efficiency of RNNs with the parallelism of Transformers
No tracked provider token pricing is available yet.
About
RWKV-6 Finch 1.6B is the smallest model in the RWKV-6 Finch series, ideal for lightweight deployments requiring constant-memory inference. Apache 2.0 licensed.
RWKV-6 Finch 1.6B is an open-source model in the RWKV-6 Finch family. The structured metadata tracks a Infinite context window. No headline benchmark score is tracked for RWKV-6 Finch 1.6B yet.
Top use-case fit
Long context
Included by capability and metadata signals in the decision map.
Provider price ladder
No tracked provider token pricing is available for this model yet.
Capabilities
No model capability flags are currently sourced.
Benchmark peer barsfor Long context
No task-mapped benchmark peers are available for this model yet.
Migration checks
No linked migration route is available for this model yet.
Rankings & picks(2)
Frequently asked questions
What is the context window of RWKV-6 Finch 1.6B?
RWKV-6 Finch 1.6B has a context window of Infinite tokens.
When was RWKV-6 Finch 1.6B released?
RWKV-6 Finch 1.6B was released on 2024-04-09.
Linear complexity language models combining the efficiency of RNNs with the parallelism of Transformers
No tracked provider token pricing is available yet.