Text Generation
Transformers
mistral
Not-For-All-Audiences
conversational
Inference Endpoints
8-bit precision
gptq

Fett-uccine

This model is created by training Mistral base model on LimaRP (ShareGPT format provided by SAO), theory of mind, and gnosis(provided by jeiku).

The 8-bit lora was then merged into Mistral Instruct resulting in what you see here.

Works best with ChatML Instruct

This model is in honor of the SillyTavern community, keep being awesome!

Optimal Settings provided by Nitral:

{
    "temp": 5,
    "temperature_last": true,
    "top_p": 1,
    "top_k": 0,
    "top_a": 0,
    "tfs": 1,
    "epsilon_cutoff": 0,
    "eta_cutoff": 0,
    "typical_p": 1,
    "min_p": 0.05,
    "rep_pen": 1,
    "rep_pen_range": 0,
    "no_repeat_ngram_size": 0,
    "penalty_alpha": 0,
    "num_beams": 1,
    "length_penalty": 0,
    "min_length": 0,
    "encoder_rep_pen": 1,
    "freq_pen": 0,
    "presence_pen": 0,
    "do_sample": true,
    "early_stopping": false,
    "dynatemp": false,
    "min_temp": 1,
    "max_temp": 5,
    "dynatemp_exponent": 1,
    "smoothing_factor": 0.3,
    "add_bos_token": true,
    "truncation_length": 2048,
    "ban_eos_token": false,
    "skip_special_tokens": true,
    "streaming": false,
    "mirostat_mode": 0,
    "mirostat_tau": 5,
    "mirostat_eta": 0.1,
    "guidance_scale": 1,
    "negative_prompt": "",
    "grammar_string": "",
    "banned_tokens": "",
    "ignore_eos_token_aphrodite": false,
    "spaces_between_special_tokens_aphrodite": true,
    "sampler_order": [
        6,
        0,
        1,
        3,
        4,
        2,
        5
    ],
    "logit_bias": [],
    "n": 1,
    "rep_pen_size": 0,
    "genamt": 150,
    "max_length": 8192
}
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Datasets used to train Epiculous/Fett-uccine-7B-GPTQ

Collection including Epiculous/Fett-uccine-7B-GPTQ