Autotrain compatible Base model:helpingai/helpingai... Base model:quantized:helpingai... Conversational Dataset:unfilteredai/dan En Endpoints compatible Gguf Llama Not-for-all-audiences Pytorch Q4 Quantized Region:us Safetensors Sharded Tensorflow
Model Card on HF 🤗: https://huggingface.co/HelpingAI/HELVETE
HELVETE 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)
HELVETE Parameters and Internals
| LLM Name | HELVETE |
| Repository 🤗 | https://huggingface.co/HelpingAI/HELVETE |
| Base Model(s) | |
| Model Size | 6b |
| Required VRAM | 11.7 GB |
| Updated | 2025-02-05 |
| Maintainer | HelpingAI |
| Model Type | llama |
| Model Files | |
| Supported Languages | en |
| GGUF Quantization | Yes |
| Quantization Type | q4|gguf|q4_k |
| Model Architecture | LlamaForCausalLM |
| License | apache-2.0 |
| Context Length | 8192 |
| Model Max Length | 8192 |
| Transformers Version | 4.44.2 |
| Tokenizer Class | PreTrainedTokenizerFast |
| Padding Token | <|end_of_text|> |
| Vocabulary Size | 128256 |
| Torch Data Type | float16 |
Best Alternatives to HELVETE
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| NSFW 6B | 8K / 11.7 GB | 39460 | 32 |
| HelpingAI2 6B | 8K / 11.7 GB | 30 | 3 |
| HelpingAI2 6B | 8K / 11.7 GB | 20 | 3 |
| Yi 1.5 6B Chat GGUF | 4K / 2.3 GB | 370 | 1 |
| Yi 1.5 6B Chat GGUF | 4K / 2.3 GB | 148 | 4 |
| Yi 1.5 6B Chat IMat GGUF | 4K / 1.4 GB | 41 | 0 |
| Yi 6B Chat GGUF | 4K / 2.3 GB | 41 | 0 |
| ...i 6B 200K AEZAKMI V2 6bpw EXL2 | 195K / 4.9 GB | 8 | 3 |
| Yi 6B 200K 8.0bpw H8 EXL2 | 195K / 6.3 GB | 8 | 1 |
| Yi 6B 200K 6.0bpw H6 EXL2 | 195K / 4.9 GB | 7 | 1 |
Note: green Score (e.g. "73.2") means that the model is better than HelpingAI/HELVETE .
Rank the HELVETE Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227