Base model:quantized:unsloth/t... Base model:unsloth/tinyllama-c... Conversational En Endpoints compatible Gguf Llama Q4 Quantized Region:us Unsloth
Model Card on HF 🤗: https://huggingface.co/KingNish/q4-tinyllama
Q4 Tinyllama 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)
Q4 Tinyllama Parameters and Internals
| Model Type |
| |||
| Training Details |
|
| LLM Name | Q4 Tinyllama |
| Repository 🤗 | https://huggingface.co/KingNish/q4-tinyllama |
| Base Model(s) | |
| Required VRAM | 0.7 GB |
| Updated | 2024-12-10 |
| Maintainer | KingNish |
| Model Type | llama |
| Model Files | |
| Supported Languages | en |
| GGUF Quantization | Yes |
| Quantization Type | gguf|q4 |
| Model Architecture | AutoModel |
| License | apache-2.0 |
Best Alternatives to Q4 Tinyllama
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ComicBot V.2 Gguf | 32K / 5 GB | 36 | 0 |
| Qwen3 Medical GRPO GGUF | 0K / 1.7 GB | 660 | 2 |
| Gemma2 WizardLM | 0K / 5.2 GB | 8 | 0 |
| ...ixtral 8x7B Instruct V0.1 GGUF | 0K / 15.6 GB | 26405 | 639 |
| Phi 2 GGUF | 0K / 1.2 GB | 95527 | 227 |
| Marco O1 GGUF | 0K / 3 GB | 130 | 6 |
| Dolphin 2.5 Mixtral 8x7b GGUF | 0K / 15.6 GB | 11237 | 303 |
| Mixtral 8x7B V0.1 GGUF | 0K / 15.6 GB | 5045 | 430 |
| Dolphin 2.7 Mixtral 8x7b GGUF | 0K / 15.6 GB | 9933 | 146 |
| GOAT Llama3.1 V0.1 | 0K / 0.2 GB | 0 | 3 |
Note: green Score (e.g. "73.2") means that the model is better than KingNish/q4-tinyllama .
Rank the Q4 Tinyllama Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124