Wisenut Llama 3.1 8B 0.8 Instruct is an open-source language model by wisenut-nlp-team. Features: 8b LLM, VRAM: 15GB, Context: 128K, Instruction-Based, LLM Explorer Score: 0.17.
Arxiv:1910.09700 Endpoints compatible Feature-extraction Instruct Llama Region:us Safetensors Sharded Tensorflow Text-embeddings-inference
Model Card on HF 🤗: https://huggingface.co/wisenut-nlp-team/wisenut-llama-3.1-8B-0.8-Instruct
Wisenut Llama 3.1 8B 0.8 Instruct 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)
Wisenut Llama 3.1 8B 0.8 Instruct Parameters and Internals
| LLM Name | Wisenut Llama 3.1 8B 0.8 Instruct |
| Repository 🤗 | https://huggingface.co/wisenut-nlp-team/wisenut-llama-3.1-8B-0.8-Instruct |
| Model Size | 8b |
| Required VRAM | 15 GB |
| Updated | 2026-05-14 |
| Maintainer | wisenut-nlp-team |
| Model Type | llama |
| Instruction-Based | Yes |
| Model Files | |
| Model Architecture | LlamaModel |
| Context Length | 131072 |
| Model Max Length | 131072 |
| Transformers Version | 4.43.4 |
| Tokenizer Class | PreTrainedTokenizerFast |
| Vocabulary Size | 128256 |
| Torch Data Type | bfloat16 |
Rank the Wisenut Llama 3.1 8B 0.8 Instruct Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a