OpenChat 3.2 Super
OpenChat 3.2 Super has model metadata, but missing tracked provider pricing keeps it from being a default production pick.
Use it for
- Teams evaluating general LLM work
- Workloads that can use a 4k 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
- OpenChat 3
- Released
- 2024-01-06
- Context
- 4k
- Parameters
- 13B
- Architecture
- Decoder Only
- Knowledge cutoff
- 2022-09
- Specialization
- general
- Training
- finetuned
No tracked provider token pricing is available yet.
About
OpenChat 3.2 Super is a robust open-source large language model with 13 billion parameters, crafted on the Llama 2 framework for superior conversational AI and instruction-following capabilities. It stands out by securing top positions on benchmarks like AgentBench and AlpacaEval, while excelling in tests like MT-bench with a score of 7.19. Trained on a dataset of approximately 80,000 ShareGPT conversations, the model impresses with an efficient fine-tuning process that utilizes a conditioning strategy and weighted loss, taking just 15 hours on 8 A100 80G GPUs. Although it shows strong performance, challenges remain in areas such as complex reasoning and programming, occasionally producing inaccurate information. OpenChat 3.2 Super is commercially available under the Llama 2 Community License.
OpenChat 3.2 Super is a model in the OpenChat 3 family. The structured metadata tracks a 4k-token context window. No headline benchmark score is tracked for OpenChat 3.2 Super 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.