{
    "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
}

Terms and Conditions of Use

The following table outlines the primary characteristics and intended uses of my YiSM-34B-0rn models:

Model Type	Purpose	Target Users	Key Features
Censored	Suitable for general audiences and sensitive topics	Educational institutions, families, and individuals seeking age-appropriate content	Restricts explicit or mature material
Neutral (**this one)	Balances accessibility with openness	Universities, researchers, and curious minds	Encourages exploration and intellectual exchange
Uncensored	Ideal for adults and specialized fields	Professionals, experts, and advanced scholars	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 employing their content.

Quants

GGUF
8bpw
6.5bpw
4.65bpw
4bpw
3.2bpw -> Fits in 16GB VRAM but not recomended. Performance is significantly degraded in lower quants.
measurements --> ExLlamav2 measurments

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
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 <img src=https://huggingface.co/altomek/YiSM-34B-0rn/resolve/main/5thIn34B.png>

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
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