Model Card on HF 🤗: https://huggingface.co/Josephgflowers/Tinyllama-616M-Cinder-DPO-With-GGUF
Tinyllama 616M Cinder DPO With GGUF Benchmarks
ARC: 26.28 vs 96.7 (so35)-72.8%
HellaSwag: 36.36 vs 95.3 (gpt4)-61.8%
MMLU: 24.82 vs 88.3 (so35)-71.9%
TruthfulQA: 43.58 vs 59 (gpt4)-26.1%
WinoGrande: 53.43 vs 87.5 (gpt4)-38.9%
GSM8K: 0.15 vs 96.4 (so35)-99.8%
LLME Score: 0.24061
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 616M Cinder DPO With GGUF Parameters and Internals
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| Training Details |
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| LLM Name | Tinyllama 616M Cinder DPO With GGUF |
| Repository 🤗 | https://huggingface.co/Josephgflowers/Tinyllama-616M-Cinder-DPO-With-GGUF |
| Model Size | 616m |
| Required VRAM | 1.2 GB |
| Updated | 2024-12-02 |
| 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
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Downloads |
Likes |
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| Tinyllama 616M Cinder | 2K / 0 GB | 456 | 1 |
Note: green Score (e.g. "73.2") means that the model is better than Josephgflowers/Tinyllama-616M-Cinder-DPO-With-GGUF .
Rank the Tinyllama 616M Cinder DPO With GGUF Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124