OpenChat 3.5 Gemma
OpenChat 3.5 Gemma 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 8k 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
- 8k
- Parameters
- 7B
- Architecture
- Decoder Only
- Specialization
- general
- Training
- finetuned
No tracked provider token pricing is available yet.
About
The OpenChat 3.5-0106-Gemma is a 7-billion parameter large language model celebrated for its impressive performance, particularly as the top Gemma variant. Developed by OpenChat, it uses the C-RLFT approach, training on the openchat-3.5-0106 dataset to handle mixed-quality data effectively without preference labels. It excels in diverse tasks like machine translation, code generation, and conversational AI, outperforming other versions and operating efficiently on consumer hardware with sufficient VRAM. However, users should be aware of potential hallucinations and biases, and ensure critical information from the model is verified.
OpenChat 3.5 Gemma is a model in the OpenChat 3 family. The structured metadata tracks a 8k-token context window. No headline benchmark score is tracked for OpenChat 3.5 Gemma 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.