OpenHermes 2.5 Mistral 7B

Mistral

Open WeightModel weights are publicly available — can be downloaded and self-hosted

Released October 202333K context≈ 24,576 words7.2B params

OpenHermes 2.5 is a fine-tuned Mistral 7B that leans heavily into instruction-following and chat, trained almost entirely on synthetic data generated by GPT-4. It punches above its weight class for coding, reasoning, and structured responses, often feeling more coherent than its parameter count suggests. The trade-off is that its personality and knowledge are shaped by its synthetic training diet, which can occasionally surface GPT-like patterns or gaps in real-world grounding.

Capabilities

Capability scores are AI-generated based on model documentation, benchmarks, and technical specifications. Learn more

Long Context

Moderate

Instruction Following

OpenHermes 2.5 Mistral 7B

Mistral

Open WeightModel weights are publicly available — can be downloaded and self-hosted

Released October 202333K context≈ 24,576 words7.2B params

OpenHermes 2.5 is a fine-tuned Mistral 7B that leans heavily into instruction-following and chat, trained almost entirely on synthetic data generated by GPT-4. It punches above its weight class for coding, reasoning, and structured responses, often feeling more coherent than its parameter count suggests. The trade-off is that its personality and knowledge are shaped by its synthetic training diet, which can occasionally surface GPT-like patterns or gaps in real-world grounding.

Capabilities

Capability scores are AI-generated based on model documentation, benchmarks, and technical specifications. Learn more

Long Context

Moderate

Instruction Following

Glossary

Fine-TunedA pre-trained model further trained on a smaller, task-specific dataset to improve performance on that task.GroundingThe practice of ensuring a model's responses are based on and supported by provided source documents rather than generated from general knowledge.Instruction-FollowingThe ability of a model to understand and execute specific tasks or commands given in natural language prompts.Parameter CountThe total number of adjustable weights in a model; more parameters generally mean more capacity to learn, but also require more computing power.ReasoningThe model's ability to work through multi-step logical problems and provide justified answers rather than just pattern-matching.Synthetic DataArtificially generated training data created by humans or other models, rather than collected from real-world sources like the internet.

OpenHermes 2.5 Mistral 7B

Capabilities

OpenHermes 2.5 Mistral 7B

Capabilities

Benchmark Scores

Use Case Fit

Glossary