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| File | Quant | Size |
|---|---|---|
| goemotions-f16.gguf | F16 | 129 MiB |
| goemotions-Q8_0.gguf | Q8_0 | 70 MiB |
| goemotions-Q6_K.gguf | Q6_K | 54 MiB |
| goemotions-Q4_K_M.gguf | Q4_K_M | 45 MiB |
llama-embedding using rank pooling to get the 28 classifier logits:llama-embedding -m goemotions-Q8_0.gguf --pooling rank --embd-normalize -1 -p "your text here"--embd-normalize defaults to 2 (L2 normalization), which is meaningless for classifier logits — always pass --embd-normalize -1 to get raw scores.