Chronos 70B
Chronos 70B has model metadata, but missing tracked provider pricing keeps it from being a default production pick.
Use it for
- Teams evaluating general LLM work
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
- Chronos Llama 2
- Released
- 2023-07-18
- Parameters
- 70B
- Architecture
- Decoder Only
- Specialization
- general
- Training
- finetuned
About
The Chronos 70B model, an advanced iteration based on the Llama v2 Base, excels in applications such as chat, roleplay, and storywriting due to its enhanced reasoning and logic capabilities. It is capable of producing lengthy, coherent outputs, with a token context length of up to 4096, facilitated by its specialized training data. While the unquantized 70B parameter version is not feasible for consumer GPUs, practical, quantized alternatives are available, offering various trade-offs between speed and accuracy. These versions are available in formats like GPTQ and AWQ. Utilizing strategies like TSMix and KernelSynth during training improves its data diversity. The model uses Alpaca formatting for optimal performance. However, its accuracy and efficiency haven't yet matched those of traditional time series forecasting models. It operates under a non-commercial cc-by-nc-4.0 license, permitting only non-commercial use 147.
Chronos 70B is a model in the Chronos Llama 2 family. No headline benchmark score is tracked for Chronos 70B yet.
Top use-case fit
No primary decision-task fit is mapped for this model yet.
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 Coding
No task-mapped benchmark peers are available for this model yet.
Migration checks
No linked migration route is available for this model yet.