Hermes 2 Theta Llama 3 70B
Hermes 2 Theta Llama 3 70B 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 8k 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
- Hermes 2
- Released
- 2023-12-12
- Context
- 8k
- Parameters
- 70B
- Architecture
- Decoder Only
- Knowledge cutoff
- 2023-12
- Specialization
- general
- Training
- finetuned
No tracked provider token pricing is available yet.
About
The Hermes-2 Theta Llama-3 70B is an advanced large language model created through the fusion of Nous Research's Hermes 2 Pro and Meta's Llama-3 Instruct models. Enhanced by Reinforcement Learning from Human Feedback (RLHF), it contains 70 billion parameters and utilizes a diverse dataset comprising web content, scientific literature, and synthetic data. With a knowledge cutoff in early 2024, the model excels in generating structured outputs, executing function calls, and handling multi-turn conversations. It showcases strong performance in various benchmarks, often surpassing GPT-4 and similar models. Despite its capabilities, it has limitations like complex prompt formats, substantial VRAM requirements, and dependency on user input quality.
Hermes 2 Theta Llama 3 70B is a model in the Hermes 2 family. The structured metadata tracks a 8k-token context window. No headline benchmark score is tracked for Hermes 2 Theta Llama 3 70B 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.