DCLM 7B
DCLM 7B is released 2024-07-15 in the DCLM family with open-source; evaluate it while provider pricing coverage matures.
Use it for
- Teams evaluating general LLM work
- Workloads that can use a 2k 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
- DCLM
- Released
- 2024-07-15
- Context
- 2k
- Parameters
- 7B
- Architecture
- Decoder Only
- Specialization
- general
- Openness
- Open source
- License
- Apache 2.0OSI-approvedCommercial use: permitted
- Weights
- Unknown
- Code
- Unknown
- Training
- Fine-tuned
No tracked provider token pricing is available yet.
About
DCLM 7B is Apple Machine Learning Research's DCLM model. It was released 2024-07-15.
DCLM 7B is an open-source model in the DCLM family. The structured metadata tracks a 2k-token context window. No headline benchmark score is tracked for DCLM 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.
Frequently asked questions
What is the context window of DCLM 7B?
DCLM 7B has a context window of 2k tokens.
When was DCLM 7B released?
DCLM 7B was released on 2024-07-15.
No tracked provider token pricing is available yet.