HAI SER is an open-source language model by HelpingAI. Features: 13.7b LLM, VRAM: 27.3GB, Context: 128K, License: other, LLM Explorer Score: 0.18.
Conversational Conversational ai Emotional reasoning En Endpoints compatible Helpingai Mixtral Region:us Safetensors Ser Sharded Tensorflow
Model Card on HF 🤗: https://huggingface.co/HelpingAI/HAI-SER
HAI SER Benchmarks
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
What is the LLM Explorer Rank (Score)
HAI SER Parameters and Internals
| LLM Name | HAI SER |
| Repository 🤗 | https://huggingface.co/HelpingAI/HAI-SER |
| Model Size | 13.7b |
| Required VRAM | 27.3 GB |
| Updated | 2026-01-14 |
| Maintainer | HelpingAI |
| Model Type | mixtral |
| Model Files | |
| Supported Languages | en |
| Model Architecture | MixtralForCausalLM |
| License | other |
| Context Length | 131072 |
| Model Max Length | 131072 |
| Transformers Version | 4.49.0.dev0 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | <｜begin▁of▁sentence｜> |
| Vocabulary Size | 128256 |
| Torch Data Type | float16 |
Best Alternatives to HAI SER
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ... Deepseek DeepHermes E32 13.7B | 128K / 54.9 GB | 5 | 0 |
| L3.1 Celestial Stone 2x8B | 128K / 27.3 GB | 312 | 3 |
| ...ma 3 2x8B Instruct MoE 64K Ctx | 64K / 27.3 GB | 12 | 4 |
| Penny Llama3 2x8b | 8K / 27.3 GB | 3 | 1 |
| Kilo 2x8B | 8K / 27.5 GB | 12 | 1 |
| Defne Llama3 2x8B | 8K / 27.4 GB | 17 | 6 |
| Llama 3 Elyza Youko MoE 2x8B | 8K / 27.3 GB | 5 | 0 |
| Llama 3 ELYZA Hermes 2x8B | 8K / 27.4 GB | 0 | 1 |
| Inixion 2x8B V2 | 8K / 27.4 GB | 6 | 2 |
| MoE Llama3 8bx2 Rag | 8K / 27.3 GB | 5 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than HelpingAI/HAI-SER .
Rank the HAI SER Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a