| # Generation Parameters | |
| For a technical description of the parameters, the [transformers documentation](https://huggingface.co/docs/transformers/main_classes/text_generation#transformers.GenerationConfig) is a good reference. | |
| The best presets, according to the [Preset Arena](https://github.com/oobabooga/oobabooga.github.io/blob/main/arena/results.md) experiment, are: | |
| **Instruction following:** | |
| 1) Divine Intellect | |
| 2) Big O | |
| 3) simple-1 | |
| 4) Space Alien | |
| 5) StarChat | |
| 6) Titanic | |
| 7) tfs-with-top-a | |
| 8) Asterism | |
| 9) Contrastive Search | |
| **Chat:** | |
| 1) Midnight Enigma | |
| 2) Yara | |
| 3) Shortwave | |
| ### Temperature | |
| Primary factor to control randomness of outputs. 0 = deterministic (only the most likely token is used). Higher value = more randomness. | |
| ### top_p | |
| If not set to 1, select tokens with probabilities adding up to less than this number. Higher value = higher range of possible random results. | |
| ### top_k | |
| Similar to top_p, but select instead only the top_k most likely tokens. Higher value = higher range of possible random results. | |
| ### typical_p | |
| If not set to 1, select only tokens that are at least this much more likely to appear than random tokens, given the prior text. | |
| ### epsilon_cutoff | |
| In units of 1e-4; a reasonable value is 3. This sets a probability floor below which tokens are excluded from being sampled. Should be used with top_p, top_k, and eta_cutoff set to 0. | |
| ### eta_cutoff | |
| In units of 1e-4; a reasonable value is 3. Should be used with top_p, top_k, and epsilon_cutoff set to 0. | |
| ### repetition_penalty | |
| Exponential penalty factor for repeating prior tokens. 1 means no penalty, higher value = less repetition, lower value = more repetition. | |
| ### repetition_penalty_range | |
| The number of most recent tokens to consider for repetition penalty. 0 makes all tokens be used. | |
| ### encoder_repetition_penalty | |
| Also known as the "Hallucinations filter". Used to penalize tokens that are *not* in the prior text. Higher value = more likely to stay in context, lower value = more likely to diverge. | |
| ### no_repeat_ngram_size | |
| If not set to 0, specifies the length of token sets that are completely blocked from repeating at all. Higher values = blocks larger phrases, lower values = blocks words or letters from repeating. Only 0 or high values are a good idea in most cases. | |
| ### min_length | |
| Minimum generation length in tokens. | |
| ### penalty_alpha | |
| Contrastive Search is enabled by setting this to greater than zero and unchecking "do_sample". It should be used with a low value of top_k, for instance, top_k = 4. | |