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Model: Eclipse-Senpai/KeyLM-75M-Instruct-GGUF Source: Original Platform
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README.md
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README.md
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---
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license: apache-2.0
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language:
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- en
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base_model: Eclipse-Senpai/KeyLM-75M-Instruct
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base_model_relation: quantized
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pipeline_tag: text-generation
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library_name: gguf
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tags:
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- keylm
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- gguf
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- llama.cpp
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- small-language-model
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- instruct
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---
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# KeyLM-75M-Instruct-GGUF
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GGUF builds of [**KeyLM-75M-Instruct**](https://huggingface.co/Eclipse-Senpai/KeyLM-75M-Instruct) for `llama.cpp`, LM Studio, Ollama, and other GGUF runtimes.
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KeyLM is a 75M-parameter instruction-tuned language model trained from scratch on approximately 18 billion tokens. See the [main model card](https://huggingface.co/Eclipse-Senpai/KeyLM-75M-Instruct) for benchmarks, training details, limitations, and the `transformers` (safetensors) version.
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## Files
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| File | Quant | Size | Notes |
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|---|---|---|---|
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| `KeyLM-75M-Instruct.F16.gguf` | F16 | ~144 MB | Full precision and recommended. The model is already tiny, so there is little reason to quantize further. |
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## Run with llama.cpp
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```bash
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# straight from the Hub
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llama-cli -hf Eclipse-Senpai/KeyLM-75M-Instruct-GGUF -cnv
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# or a local file
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llama-cli -m KeyLM-75M-Instruct.F16.gguf -cnv
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```
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The chat template (`User:` / `Assistant:`, assistant turns ending with `</s>`) is embedded in the GGUF, so conversation mode (`-cnv`) applies it automatically.
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## LM Studio / Ollama
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- **LM Studio:** load the `.gguf`; the embedded chat template is detected automatically.
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- **Ollama:** `ollama run hf.co/Eclipse-Senpai/KeyLM-75M-Instruct-GGUF`
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## Notes & limitations
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KeyLM is a tiny model: good at simple instruction following and short chat, near random chance on knowledge/reasoning benchmarks. It is not a factual assistant. Full numbers and caveats are on the [main model card](https://huggingface.co/Eclipse-Senpai/KeyLM-75M-Instruct).
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## License
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Apache 2.0.
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