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RichardErkhov/Epiculous_-_Fett-uccine-7B-8bits
Epiculous_-_Fett-uccine-7B-8bits is a machine learning model from RichardErkhov. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
Downloads · 30 days
3
13% of all-time downloads
All-time downloads
23
Public
Parameters
7.2B
7.5 GB on disk
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0
Public
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.safetensors7.5 GB · 100%
How the weights are stored.
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From the Hugging Face model README
Quantization made by Richard Erkhov.
Fett-uccine-7B - bnb 8bits
datasets:
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
}