Tinyllama 616M Cinder DPO With GGUF Benchmarks
ARC: 26.28-72.7%
HellaSwag: 36.36-61.8%
MMLU: 24.82-71.3%
TruthfulQA: 43.58-26.1%
WinoGrande: 53.43-38.9%
GSM8K: 0.15-99.8%
nn.n% — How the model compares to the GPT-4.
Tinyllama 616M Cinder DPO With GGUF Parameters and Internals
| LLM Name | Tinyllama 616M Cinder DPO With GGUF |
| Repository | Open on 🤗 |
| Model Size | 616m |
| Required VRAM | 1.2 GB |
| Updated | 2024-07-27 |
| Maintainer | Josephgflowers |
| Model Type | llama |
| Model Files | |
| GGUF Quantization | Yes |
| Quantization Type | gguf |
| Model Architecture | LlamaForCausalLM |
| License | mit |
| Context Length | 4096 |
| Model Max Length | 4096 |
| Transformers Version | 4.38.2 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | </s> |
| Vocabulary Size | 32000 |
| Torch Data Type | bfloat16 |
Best Alternatives to Tinyllama 616M Cinder DPO With GGUF
Best Alternatives |
HF Rank |
Context/RAM |
Downloads |
Likes |
|---|---|---|---|---|
| Tinyllama 616M Cinder | 0.3 | 2K / 0 GB | 302 | 1 |
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072501