OpenHermes 13B
OpenHermes 13B 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
- OpenHermes
- Released
- 2023-07-18
- Context
- 4k
- Parameters
- 13B
- Architecture
- Decoder Only
- Specialization
- general
- Training
- finetuned
About
OpenHermes-13B is a large language model (LLM) fine-tuned by Teknium on a dataset primarily containing GPT-4-generated data. Built on the Llama-2-13b-hf base model, it comprises 13 billion parameters and is trained on an open-source dataset with 242,000 entries. The training data includes contributions from sources like GPTeacher, WizardLM, and Airoboros GPT-4. Key features include filtering OpenAI refusals and a context length of 4096 tokens. While demonstrating strong text generation capabilities, especially in benchmarks like GPT4All, it shows limitations in reasoning and logic, as seen in the AGIEval score. Training details are accessible through WandB, highlighting its transparent development process.
OpenHermes 13B is a model in the OpenHermes family. The structured metadata tracks a 4k-token context window. No headline benchmark score is tracked for OpenHermes 13B 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.