Chameleon 7B
Chameleon 7B 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
- Chameleon
- Released
- 2024-06-18
- Context
- 4k
- Parameters
- 7B
- Architecture
- Decoder Only
- Specialization
- general
- Training
- finetuned
Large-scale open-source AI for social technologies.
No tracked provider token pricing is available yet.
About
Chameleon 7B is an innovative mixed-modal foundation model from Meta AI's FAIR team, notable for its early-fusion architecture that treats images and text as a single sequence of tokens. This approach allows seamless integration of multimodal inputs, enhancing the coherence and contextual relevance of outputs. Utilizing a transformer architecture and incorporating advancements like query-key normalization, Chameleon 7B maintains stable training at scale. It excels in tasks like visual question answering, image captioning, and text generation, often outperforming similar-sized models. Originally capable of generating images, its public version is restricted to text-only outputs for safety considerations, making it a robust tool for research in multimodal AI applications.
Chameleon 7B is a model in the Chameleon family. The structured metadata tracks a 4k-token context window. No headline benchmark score is tracked for Chameleon 7B 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.