Autotrain compatible Conversational Dataset:oevortex/emotionalinte... Dataset:oevortex/sentimentsynt... Emotionally intelligent Endpoints compatible Eq Gguf Helpingai Llama Quantized Region:us Safetensors Sharded Tensorflow
Model Card on HF 🤗: https://huggingface.co/HelpingAI/HelpingAI-9B
HelpingAI 9B 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)
HelpingAI 9B Parameters and Internals
| LLM Name | HelpingAI 9B |
| Repository 🤗 | https://huggingface.co/HelpingAI/HelpingAI-9B |
| Model Size | 9b |
| Required VRAM | 17.6 GB |
| Updated | 2025-09-23 |
| Maintainer | OEvortex |
| Model Type | llama |
| Model Files | |
| GGUF Quantization | Yes |
| Quantization Type | gguf |
| Model Architecture | LlamaForCausalLM |
| License | other |
| Context Length | 4096 |
| Model Max Length | 4096 |
| Transformers Version | 4.41.0 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | <unk> |
| Vocabulary Size | 64000 |
| Torch Data Type | float16 |
Best Alternatives to HelpingAI 9B
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| HelpingAI2 9B | 128K / 17.8 GB | 128 | 23 |
| HelpingAI2 9B | 128K / 17.8 GB | 1890 | 25 |
| Llama 3 Experiment V1 9B GGUF | 8K / 5.4 GB | 17 | 0 |
| HelpingAI 9B | 4K / 17.6 GB | 80 | 25 |
| Yi 1.5 9B Chat GGUF | 4K / 3.4 GB | 1269 | 8 |
| Yi 1.5 9B Chat GGUF | 4K / 3.4 GB | 1037 | 2 |
| Yi 1.5 9B Chat IMat GGUF | 4K / 2 GB | 50 | 0 |
| Yi 9B 200K 6.0bpw H6 EXL2 | 256K / 7 GB | 5 | 1 |
| Yi 9B 200K 3.0bpw H6 EXL2 | 256K / 3.9 GB | 1 | 1 |
| Faro Yi 9B DPO 8bpw EXL2 | 32K / 8.3 GB | 8 | 1 |
Note: green Score (e.g. "73.2") means that the model is better than HelpingAI/HelpingAI-9B .
Rank the HelpingAI 9B Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124