Tinyllama Ft CodeAlpaca Adapter is an open-source language model by mrm8488. Features: LLM, VRAM: 0.1GB, License: apache-2.0, Quantized, LLM Explorer Score: 0.11.
4bit Adapter Base model:finetune:unsloth/ti... Base model:unsloth/tinyllama-b... Dataset:generator Finetuned Generated from trainer Lora Quantized Region:us Safetensors
Model Card on HF 🤗: https://huggingface.co/mrm8488/tinyllama-ft-codeAlpaca-adapter
Tinyllama Ft CodeAlpaca Adapter 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)
Tinyllama Ft CodeAlpaca Adapter Parameters and Internals
| Additional Notes |
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| Training Details |
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| LLM Name | Tinyllama Ft CodeAlpaca Adapter |
| Repository 🤗 | https://huggingface.co/mrm8488/tinyllama-ft-codeAlpaca-adapter |
| Base Model(s) | |
| Required VRAM | 0.1 GB |
| Updated | 2026-05-10 |
| Maintainer | mrm8488 |
| Model Files | |
| Quantization Type | 4bit |
| Model Architecture | Adapter |
| License | apache-2.0 |
| Is Biased | none |
| PEFT Type | LORA |
| LoRA Model | Yes |
| PEFT Target Modules | q_proj|k_proj|down_proj|o_proj|gate_proj|v_proj|up_proj |
| LoRA Alpha | 32 |
| LoRA Dropout | 0 |
| R Param | 32 |
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| Nemo Books Lora | 0K / 1.8 GB | 5 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than mrm8488/tinyllama-ft-codeAlpaca-adapter .
Rank the Tinyllama Ft CodeAlpaca Adapter Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a