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Model: ysingh-aiml/tinyllama-alpaca-lora-gguf
Source: Original Platform

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README.md

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+---
+license: apache-2.0
+language:
+  - en
+base_model: TinyLlama/TinyLlama-1.1B-Chat-v1.0
+tags:
+  - gguf
+  - llama-cpp
+  - quantized
+  - tinyllama
+  - lora
+  - alpaca
+  - text-generation
+datasets:
+  - tatsu-lab/alpaca
+---
+
+# TinyLlama 1.1B — LoRA (Alpaca) — GGUF quantizations
+
+GGUF weights for **TinyLlama-1.1B-Chat** fine-tuned with **LoRA** on Alpaca-style instructions (fused HF checkpoint → F16 GGUF → `llama-quantize`).
+
+## Files
+
+| File | Quantization | ~Size |
+|------|----------------|-------|
+| `model-Q4_K_M.gguf` | Q4_K_M | ~637 MB |
+| `model-Q5_K_M.gguf` | Q5_K_M | ~746 MB |
+| `model-Q8_0.gguf` | Q8_0 | ~1.1 GB |
+
+## Usage (llama.cpp)
+
+```bash
+llama-cli -m model-Q4_K_M.gguf -p "Hello" -n 128
+# or
+llama-server -m model-Q4_K_M.gguf --host 0.0.0.0 --port 8080
+```
+
+## Provenance
+
+- Base: [`TinyLlama/TinyLlama-1.1B-Chat-v1.0`](https://huggingface.co/TinyLlama/TinyLlama-1.1B-Chat-v1.0)
+- Conversion: `llama.cpp/convert_hf_to_gguf.py` (F16), then `llama-quantize`
+- Chat template is embedded in the GGUF (TinyLlama chat format)
+
+## Related
+
+- Benchmark Space: [`ysingh-aiml/tinyllama-quantization-gguf`](https://huggingface.co/spaces/ysingh-aiml/tinyllama-quantization-gguf)

model-Q4_K_M.gguf

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model-Q5_K_M.gguf

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model-Q8_0.gguf

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