4bit Base model:quantized:unsloth/t... Base model:unsloth/tinyllama-b... En Endpoints compatible Gguf Llama Quantized Region:us Unsloth
Tinyllama Gguf 16B 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 Gguf 16B Parameters and Internals
| LLM Name | Tinyllama Gguf 16B |
| Repository 🤗 | https://huggingface.co/abdymazhit/tinyllama-gguf-16b |
| Base Model(s) | |
| Model Size | 16b |
| Required VRAM | 2.2 GB |
| Updated | 2024-09-16 |
| Maintainer | abdymazhit |
| Model Type | llama |
| Model Files | |
| Supported Languages | en |
| GGUF Quantization | Yes |
| Quantization Type | gguf|4bit |
| Model Architecture | AutoModel |
| License | apache-2.0 |
Best Alternatives to Tinyllama Gguf 16B
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Llama 3 16B Instruct V0.1 GGUF | 0K / 6.4 GB | 509 | 9 |
| Nanbeige 16B Chat 32K GGUF | 0K / 6.6 GB | 144 | 6 |
| Nanbeige 16B Chat GGUF | 0K / 6.6 GB | 115 | 1 |
| Nanbeige 16B Base GGUF | 0K / 6.6 GB | 114 | 1 |
| Nanbeige 16B Base 32K GGUF | 0K / 6.6 GB | 87 | 3 |
| Ct2fast Codegen2 16B | 0K / 32.1 GB | 1 | 1 |
| Ct2fast Codegen 16B Mono | 0K / 32.1 GB | 1 | 2 |
Note: green Score (e.g. "73.2") means that the model is better than abdymazhit/tinyllama-gguf-16b .
Rank the Tinyllama Gguf 16B Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803