InternLM 7B
InternLM 7B is worth evaluating for general LLM work when its provider route and context window match the workload.
Use it for
- Teams evaluating general LLM work
- Workloads that can use a 4k context window
- Buyers comparing 1 tracked provider route
Do not use it for
- Vision or document-understanding workloads
- Strict JSON or tool-calling flows
- Family
- InternLM
- Released
- 2023-07-06
- Context
- 4k
- Parameters
- 7B
- Architecture
- Decoder Only
- Knowledge cutoff
- 2023-03
- Specialization
- general
- Openness
- Open source
- License
- Apache 2.0OSI-approvedCommercial use: permitted
- Weights
- Unknown
- Code
- Unknown
- Training
- Fine-tuned
Cheapest of 1 route · Bitdeer AI
About
InternLM 7B is a state-of-the-art large language model with 7 billion parameters, developed by the Shanghai Artificial Intelligence Laboratory. It is built on the robust transformer architecture, enabling it to process long input sequences and perform complex reasoning tasks effectively. Trained on trillions of high-quality tokens from diverse sources, InternLM 7B maintains a strong knowledge base. It supports an 8k context window and offers customizable tools for user-specific applications. Rigorous evaluations demonstrate its superior performance across key competence areas, outperforming models such as LLaMA-7B and Baichuan-7B on benchmarks like MMLU and GSM8K.
Top use-case fit
No primary decision-task fit is mapped for this model yet.
Provider price ladder
Compare API pricing across 1 providers for input and output tokens, batch, and cached reads when available.
| Provider | Input / 1M | Output / 1M | Route |
|---|---|---|---|
| Bitdeer AI | $0.140 | $0.420 | Serverless |
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.
Cheapest of 1 route · Bitdeer AI