8bplease is an open-source language model by hardlyworking. Features: 8.4b LLM, VRAM: 16.9GB, Context: 8K, LLM Explorer Score: 0.19.
Autotrain compatible Base model:hardlyworking/8blor... Base model:hardlyworking/emera... Base model:merge:hardlyworking... Base model:merge:hardlyworking... Conversational Endpoints compatible Merge Mergekit Mistral Region:us Safetensors Sharded Tensorflow
Model Card on HF 🤗: https://huggingface.co/hardlyworking/8bplease
8bplease 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)
8bplease Parameters and Internals
| LLM Name | 8bplease |
| Repository 🤗 | https://huggingface.co/hardlyworking/8bplease |
| Base Model(s) | |
| Model Size | 8.4b |
| Required VRAM | 16.9 GB |
| Updated | 2025-09-23 |
| Maintainer | hardlyworking |
| Model Type | mistral |
| Model Files | |
| Model Architecture | MistralForCausalLM |
| Context Length | 8192 |
| Model Max Length | 8192 |
| Transformers Version | 4.51.3 |
| Tokenizer Class | PreTrainedTokenizer |
| Padding Token | <pad> |
| Vocabulary Size | 131072 |
| Torch Data Type | bfloat16 |
Rank the 8bplease Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a