Llama 3 TenyxChat 70B
Llama 3 TenyxChat 70B 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
- Buyers comparing 1 tracked provider route
Do not use it for
- Vision or document-understanding workloads
- Strict JSON or tool-calling flows
- Family
- TenyxChat
- Released
- 2024-08-01
- Parameters
- 70B
- Architecture
- Decoder Only
- Specialization
- general
- Training
- finetuned
Cheapest of 1 route · Microsoft Foundry
About
Llama 3 TenyxChat 70B, developed by Tenyx Research, is a finely-tuned 70-billion-parameter instruction model based on the open-source Llama 3 70B. It utilizes proprietary techniques such as Direct Preference Optimization to boost performance as an assistive tool. Trained with the UltraFeedback dataset, it aligns with human preferences for helpfulness and safety. The model excels in dialogue applications, text and code generation, reasoning, math, and handling multi-turn conversations while mitigating "catastrophic forgetting" issues. Despite its strengths, it requires further refinement for safety and still faces some challenges in reasoning and verbosity.
Llama 3 TenyxChat 70B is an open-source model in the TenyxChat family. This page tracks provider routes through Microsoft Foundry, with the cheapest tracked route listed at $3.78 input and $11.34 output per 1M tokens. No headline benchmark score is tracked for Llama 3 TenyxChat 70B yet.
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 |
|---|---|---|---|
| Microsoft Foundry | $3.78 | $11.34 | Provisioned |
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.