Autotrain compatible Conversational Dataset:oevortex/emotionalinte... Dataset:oevortex/sentimentsynt... Emotionally intelligent Endpoints compatible Eq Gguf Helpingai Llama Quantized Region:us Safetensors Sharded Tensorflow
HelpingAI 9B Benchmarks
ARC: 58.87-38.9%
HellaSwag: 79.16-16.9%
MMLU: 65.01-24.8%
TruthfulQA: 48.52-17.8%
WinoGrande: 74.66-14.7%
GSM8K: 53.75-41.6%
nn.n% — How the model compares to the GPT-4.
HelpingAI 9B Parameters and Internals
| LLM Name | HelpingAI 9B |
| Repository | Open on 🤗 |
| Base Model(s) | |
| Model Size | 9b |
| Required VRAM | 17.6 GB |
| Updated | 2024-07-26 |
| 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
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HF Rank |
Context/RAM |
Downloads |
Likes |
|---|---|---|---|---|
| Yi 1.5 9B Chat GGUF | 0.3 | 4K / 3.4 GB | 2238 | 2 |
| Yi 1.5 9B Chat GGUF | 0.3 | 4K / 3.4 GB | 496 | 2 |
| Yi 1.5 9B Chat IMat GGUF | 0.2 | 4K / 2 GB | 86 | 0 |
| Yi 9B 200K 3.0bpw H6 EXL2 | 0.2 | 256K / 3.9 GB | 5 | 1 |
| Yi 9B 200K 6.0bpw H6 EXL2 | 0.2 | 256K / 7 GB | 4 | 1 |
| Faro Yi 9B DPO 8bpw EXL2 | 0.2 | 32K / 8.3 GB | 9 | 1 |
| Faro Yi 9B DPO 6bpw EXL2 | 0.2 | 32K / 7 GB | 7 | 1 |
| Master Yi 9B 8.0bpw H8 EXL2 | 0.2 | 4K / 8.7 GB | 6 | 2 |
| Master Yi 9B 5.0bpw H6 EXL2 | 0.2 | 4K / 5.9 GB | 8 | 1 |
| Master Yi 9B 4.0bpw H6 EXL2 | 0.2 | 4K / 4.9 GB | 7 | 1 |
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072501