đ YiSM-34B-0rn
This is a self - merged model, aiming to follow most instructions while preserving the nature of its base models.
đ Quick Start
Ingridients
Settings
I use max_seq_len 8K with alpha_value 2.65.
SillyTavern presets:
{
"temp": 0.1,
"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,
"rep_pen": 1.08,
"rep_pen_range": 0,
"no_repeat_ngram_size": 0,
"penalty_alpha": 0,
"num_beams": 1,
"length_penalty": 1,
"min_length": 0,
"encoder_rep_pen": 1,
"freq_pen": 0.01,
"presence_pen": 0,
"do_sample": true,
"early_stopping": false,
"add_bos_token": true,
"truncation_length": 2048,
"ban_eos_token": false,
"skip_special_tokens": true,
"streaming": true,
"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": 2048,
"max_length": 8192
}
⨠Features
Terms and Conditions of Use
The following table outlines the primary characteristics and intended uses of my YiSM-34B-0rn models:
| Property |
Details |
| Model Type |
Censored: Suitable for general audiences and sensitive topics; Neutral (this one): Balances accessibility with openness; Uncensored: Ideal for adults and specialized fields |
| Purpose |
Censored: For educational institutions, families, and individuals seeking age - appropriate content; Neutral: For universities, researchers, and curious minds; Uncensored: For professionals, experts, and advanced scholars |
| Target Users |
As described above |
| Key Features |
Censored: Restricts explicit or mature material; Neutral: Encourages exploration and intellectual exchange; Uncensored: Offers unfiltered access to diverse viewpoints and knowledge |
Please remember that all YiSM-34B-0rn models operate under the apache - 2.0 license, so familiarize yourself with its terms and conditions before using their content.
Quants
đ Documentation
Detailed results can be found here
| Property |
Details |
| Avg. |
75.65 |
| AI2 Reasoning Challenge (25 - Shot) |
69.54 |
| HellaSwag (10 - Shot) |
86.67 |
| MMLU (5 - Shot) |
78.51 |
| TruthfulQA (0 - shot) |
59.68 |
| Winogrande (5 - shot) |
83.66 |
| GSM8k (5 - shot) |
75.82 |
5th in 34B size range excluding "Private or deleted" or 8th with all models included as of 2024 - 06 - 10 ;P
Detailed results can be found here
| Property |
Details |
| Avg. |
30.15 |
| IFEval (0 - Shot) |
42.84 |
| BBH (3 - Shot) |
45.38 |
| MATH Lvl 5 (4 - Shot) |
20.62 |
| GPQA (0 - shot) |
16.22 |
| MuSR (0 - shot) |
14.76 |
| MMLU - PRO (5 - shot) |
41.06 |
đ License
This model is licensed under the apache - 2.0 license.
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