Hermes3

Hermes3 3B - Details

Last update on 2025-05-18

Hermes3 3B is a large language model developed by Nousresearch, a company, featuring 3b parameters under the Meta Llama 3 Community License Agreement (META-LLAMA-3-CCLA). It focuses on enhanced conversational intelligence.

Description of Hermes3 3B

Hermes3 3B is a small but powerful generalist language model developed by Nousresearch, a company, with 3b parameters. It is a full parameter fine-tune of the Llama-3.2 3B foundation model, designed to align with user needs through advanced agentic capabilities, improved roleplaying, reasoning, multi-turn conversation, and long context coherence. The model supports structured outputs, function calling, and uses ChatML as its prompt format. It was trained on H100s via LambdaLabs GPU Cloud under the Meta Llama 3 Community License Agreement (META-LLAMA-3-CCLA). Its focus on enhanced conversational intelligence makes it suitable for dynamic and complex interactions.

Parameters & Context Length of Hermes3 3B

3b 128k

Hermes3 3B is a large language model with 3b parameters, placing it in the category of small models that are fast and resource-efficient, ideal for simple tasks. Its 128k context length falls into the very long context category, making it suitable for handling extensive texts but requiring significant resources.

  • Parameter Size: 3bSmall models (up to 7B parameters) are fast and resource-efficient, suitable for simple tasks.
  • Context Length: 128kVery long contexts (128K+ tokens) are best for very long texts, but highly resource-intensive.

Possible Intended Uses of Hermes3 3B

function calling data generation assistance

Hermes3 3B is a versatile model with 3b parameters designed for general assistance, function calling, and structured data generation, though these are possible applications that require further exploration. Its 3b parameter size and 128k context length suggest it could support general assistance tasks like answering questions or providing guidance, but possible limitations in complexity may affect performance. Function calling could enable interactions with external tools or APIs, though possible dependencies on specific frameworks or configurations might arise. Structured data generation might allow for creating formatted outputs like tables or JSON, but possible variations in accuracy or consistency could occur. These possible uses highlight the model’s flexibility but underscore the need for thorough testing and adaptation to specific needs.

  • General assistance
  • Function calling
  • Structured data generation

Possible Applications of Hermes3 3B

task automation structured data generator interactive dialogue system general assistant function calling tool

Hermes3 3B is a versatile model with 3b parameters and a 128k context length, making it a possible candidate for applications requiring general assistance, function calling, or structured data generation. Its possible ability to handle extended contexts could support interactive dialogue systems or task automation, though these possible uses would need validation. Function calling might enable dynamic interactions with external tools, but possible dependencies on specific environments could arise. Structured data generation could assist in creating formatted outputs, though possible variations in accuracy may require refinement. These possible applications highlight the model’s adaptability but emphasize the need for rigorous testing.

  • General assistance
  • Function calling
  • Structured data generation
  • Interactive dialogue systems

Each application must be thoroughly evaluated and tested before use.

Quantized Versions & Hardware Requirements of Hermes3 3B

32 ram 12 vram

Hermes3 3B’s medium q4 version requires a GPU with at least 12GB VRAM for efficient operation, making it suitable for systems with mid-range hardware. This quantized version balances precision and performance, though possible variations in resource usage may depend on workload. A multi-core CPU and at least 32GB RAM are recommended for stability.

fp16, q2, q3, q4, q5, q6, q8

Conclusion

Hermes3 3B is a 3b-parameter large language model developed by Nousresearch under the Meta Llama 3 Community License Agreement, optimized for enhanced conversational intelligence with advanced agentic capabilities, improved roleplaying, and long context coherence. It features a 128k context length and was trained on H100s via LambdaLabs GPU Cloud, making it suitable for complex, dynamic interactions.

References

Huggingface Model Page
Ollama Model Page

Benchmarks

Benchmark Name Score
Instruction Following Evaluation (IFEval) 38.25
Big Bench Hard (BBH) 20.19
Mathematical Reasoning Test (MATH Lvl 5) 3.93
General Purpose Question Answering (GPQA) 3.36
Multimodal Understanding and Reasoning (MUSR) 8.58
Massive Multitask Language Understanding (MMLU-PRO) 17.16
Link: Huggingface - Open LLM Leaderboard
Benchmark Graph
Maintainer
Parameters & Context Length
  • Parameters: 3b
  • Context Length: 131K
Statistics
  • Huggingface Likes: 159
  • Huggingface Downloads: 39K
Intended Uses
  • General Assistance
  • Function Calling
  • Structured Data Generation
Languages
  • English