You can deploy this model and start earning money today!

RichardErkhov/
HenryJJ_-_Instruct_Mistral-7B-v0.1_Dolly15K-gguf

Name: HenryJJ_-_Instruct_Mistral-7B-v0.1_Dolly15K-gguf
Availability: InStock

endpoints_compatible

gguf

template

Views

No views yet

Quantization made by Richard Erkhov.

Github

Discord

Request more models

Instruct_Mistral-7B-v0.1_Dolly15K - GGUF

Model creator: https://huggingface.co/HenryJJ/
Original model: https://huggingface.co/HenryJJ/Instruct_Mistral-7B-v0.1_Dolly15K/

Name	Quant method	Size
Instruct_Mistral-7B-v0.1_Dolly15K.Q2_K.gguf	Q2_K	2.53GB
Instruct_Mistral-7B-v0.1_Dolly15K.IQ3_XS.gguf	IQ3_XS	2.81GB
Instruct_Mistral-7B-v0.1_Dolly15K.IQ3_S.gguf	IQ3_S	2.96GB
Instruct_Mistral-7B-v0.1_Dolly15K.Q3_K_S.gguf	Q3_K_S	2.95GB
Instruct_Mistral-7B-v0.1_Dolly15K.IQ3_M.gguf	IQ3_M	3.06GB
Instruct_Mistral-7B-v0.1_Dolly15K.Q3_K.gguf	Q3_K	3.28GB
Instruct_Mistral-7B-v0.1_Dolly15K.Q3_K_M.gguf	Q3_K_M	3.28GB
Instruct_Mistral-7B-v0.1_Dolly15K.Q3_K_L.gguf	Q3_K_L	3.56GB
Instruct_Mistral-7B-v0.1_Dolly15K.IQ4_XS.gguf	IQ4_XS	3.67GB
Instruct_Mistral-7B-v0.1_Dolly15K.Q4_0.gguf	Q4_0	3.83GB
Instruct_Mistral-7B-v0.1_Dolly15K.IQ4_NL.gguf	IQ4_NL	3.87GB
Instruct_Mistral-7B-v0.1_Dolly15K.Q4_K_S.gguf	Q4_K_S	3.86GB
Instruct_Mistral-7B-v0.1_Dolly15K.Q4_K.gguf	Q4_K	4.07GB
Instruct_Mistral-7B-v0.1_Dolly15K.Q4_K_M.gguf	Q4_K_M	4.07GB
Instruct_Mistral-7B-v0.1_Dolly15K.Q4_1.gguf	Q4_1	4.24GB
Instruct_Mistral-7B-v0.1_Dolly15K.Q5_0.gguf	Q5_0	4.65GB
Instruct_Mistral-7B-v0.1_Dolly15K.Q5_K_S.gguf	Q5_K_S	4.65GB
Instruct_Mistral-7B-v0.1_Dolly15K.Q5_K.gguf	Q5_K	4.78GB
Instruct_Mistral-7B-v0.1_Dolly15K.Q5_K_M.gguf	Q5_K_M	4.78GB
Instruct_Mistral-7B-v0.1_Dolly15K.Q5_1.gguf	Q5_1	5.07GB
Instruct_Mistral-7B-v0.1_Dolly15K.Q6_K.gguf	Q6_K	5.53GB
Instruct_Mistral-7B-v0.1_Dolly15K.Q8_0.gguf	Q8_0	7.17GB

Original model description:

license: apache-2.0 datasets:

databricks/databricks-dolly-15k

Instruct_Mixtral-7B-v0.1_Dolly15K

Fine-tuned from Mixtral-7B-v0.1， used Dolly15k for the dataset. 90% for training, 10% validation. Trained for 2.0 epochs using Lora. Trained with 1024 context window.

Model Details

Trained by: trained by HenryJJ.
Model type: Instruct_Mixtral-7B-v0.1_Dolly15K is an auto-regressive language model based on the Llama 2 transformer architecture.
Language(s): English
License for Instruct_Mixtral-7B-v0.1_Dolly15K: apache-2.0 license

Prompting

Prompt Template With Context

Write a 10-line poem about a given topic

Input:

The topic is about racecars

Output:

Prompt Template Without Context

Who was the was the second president of the United States?

Output:

Training script:

Fully opensourced at: https://github.com/hengjiUSTC/learn-llm/blob/main/trl_finetune.py.

Latest results

These are the latest results from run 2024-01-04T13:27:32.660899(note that their might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the "latest" split for each eval):

python

{
    "all": {
        "acc": 0.6241143484289186,
        "acc_stderr": 0.032689663124831826,
        "acc_norm": 0.6299031400315822,
        "acc_norm_stderr": 0.033361474961048916,
        "mc1": 0.2802937576499388,
        "mc1_stderr": 0.015723139524608767,
        "mc2": 0.435601924823795,
        "mc2_stderr": 0.014179199089974604
    },
    "harness|arc:challenge|25": {
        "acc": 0.5571672354948806,
        "acc_stderr": 0.014515573873348906,
        "acc_norm": 0.5938566552901023,
        "acc_norm_stderr": 0.014351656690097862
    },
    "harness|hellaswag|10": {
        "acc": 0.6253734315873332,
        "acc_stderr": 0.004830371317841054,
        "acc_norm": 0.826229834694284,
        "acc_norm_stderr": 0.00378137335887
    },
    "harness|hendrycksTest-abstract_algebra|5": {
        "acc": 0.31,
        "acc_stderr": 0.04648231987117316,
        "acc_norm": 0.31,
        "acc_norm_stderr": 0.04648231987117316
    },
    "harness|hendrycksTest-anatomy|5": {
        "acc": 0.6148148148148148,
        "acc_stderr": 0.04203921040156279,
        "acc_norm": 0.6148148148148148,
        "acc_norm_stderr": 0.04203921040156279
    },
    "harness|hendrycksTest-astronomy|5": {
        "acc": 0.6513157894736842,
        "acc_stderr": 0.03878139888797611,
        "acc_norm": 0.6513157894736842,
        "acc_norm_stderr": 0.03878139888797611
    },
    "harness|hendrycksTest-business_ethics|5": {
        "acc": 0.57,
        "acc_stderr": 0.04975698519562428,
        "acc_norm": 0.57,
        "acc_norm_stderr": 0.04975698519562428
    },
    "harness|hendrycksTest-clinical_knowledge|5": {
        "acc": 0.660377358490566,
        "acc_stderr": 0.029146904747798328,
        "acc_norm": 0.660377358490566,
        "acc_norm_stderr": 0.029146904747798328
    },
    "harness|hendrycksTest-college_biology|5": {
        "acc": 0.7291666666666666,
        "acc_stderr": 0.03716177437566017,
        "acc_norm": 0.7291666666666666,
        "acc_norm_stderr": 0.03716177437566017
    },
    "harness|hendrycksTest-college_chemistry|5": {
        "acc": 0.46,
        "acc_stderr": 0.05009082659620332,
        "acc_norm": 0.46,
        "acc_norm_stderr": 0.05009082659620332
    },
    "harness|hendrycksTest-college_computer_science|5": {
        "acc": 0.54,
        "acc_stderr": 0.05009082659620333,
        "acc_norm": 0.54,
        "acc_norm_stderr": 0.05009082659620333
    },
    "harness|hendrycksTest-college_mathematics|5": {
        "acc": 0.38,
        "acc_stderr": 0.04878317312145632,
        "acc_norm": 0.38,
        "acc_norm_stderr": 0.04878317312145632
    },
    "harness|hendrycksTest-college_medicine|5": {
        "acc": 0.5838150289017341,
        "acc_stderr": 0.03758517775404947,
        "acc_norm": 0.5838150289017341,
        "acc_norm_stderr": 0.03758517775404947
    },
    "harness|hendrycksTest-college_physics|5": {
        "acc": 0.35294117647058826,
        "acc_stderr": 0.04755129616062946,
        "acc_norm": 0.35294117647058826,
        "acc_norm_stderr": 0.04755129616062946
    },
    "harness|hendrycksTest-computer_security|5": {
        "acc": 0.77,
        "acc_stderr": 0.04229525846816505,
        "acc_norm": 0.77,
        "acc_norm_stderr": 0.04229525846816505
    },
    "harness|hendrycksTest-conceptual_physics|5": {
        "acc": 0.5574468085106383,
        "acc_stderr": 0.032469569197899575,
        "acc_norm": 0.5574468085106383,
        "acc_norm_stderr": 0.032469569197899575
    },
    "harness|hendrycksTest-econometrics|5": {
        "acc": 0.5,
        "acc_stderr": 0.047036043419179864,
        "acc_norm": 0.5,
        "acc_norm_stderr": 0.047036043419179864
    },
    "harness|hendrycksTest-electrical_engineering|5": {
        "acc": 0.5724137931034483,
        "acc_stderr": 0.041227371113703316,
        "acc_norm": 0.5724137931034483,
        "acc_norm_stderr": 0.041227371113703316
    },
    "harness|hendrycksTest-elementary_mathematics|5": {
        "acc": 0.3994708994708995,
        "acc_stderr": 0.02522545028406788,
        "acc_norm": 0.3994708994708995,
        "acc_norm_stderr": 0.02522545028406788
    },
    "harness|hendrycksTest-formal_logic|5": {
        "acc": 0.3968253968253968,
        "acc_stderr": 0.04375888492727061,
        "acc_norm": 0.3968253968253968,
        "acc_norm_stderr": 0.04375888492727061
    },
    "harness|hendrycksTest-global_facts|5": {
        "acc": 0.35,
        "acc_stderr": 0.0479372485441102,
        "acc_norm": 0.35,
        "acc_norm_stderr": 0.0479372485441102
    },
    "harness|hendrycksTest-high_school_biology|5": {
        "acc": 0.7483870967741936,
        "acc_stderr": 0.024685979286239956,
        "acc_norm": 0.7483870967741936,
        "acc_norm_stderr": 0.024685979286239956
    },
    "harness|hendrycksTest-high_school_chemistry|5": {
        "acc": 0.5221674876847291,
        "acc_stderr": 0.03514528562175008,
        "acc_norm": 0.5221674876847291,
        "acc_norm_stderr": 0.03514528562175008
    },
    "harness|hendrycksTest-high_school_computer_science|5": {
        "acc": 0.67,
        "acc_stderr": 0.04725815626252607,
        "acc_norm": 0.67,
        "acc_norm_stderr": 0.04725815626252607
    },
    "harness|hendrycksTest-high_school_european_history|5": {
        "acc": 0.7636363636363637,
        "acc_stderr": 0.03317505930009182,
        "acc_norm": 0.7636363636363637,
        "acc_norm_stderr": 0.03317505930009182
    },
    "harness|hendrycksTest-high_school_geography|5": {
        "acc": 0.7525252525252525,
        "acc_stderr": 0.030746300742124498,
        "acc_norm": 0.7525252525252525,
        "acc_norm_stderr": 0.030746300742124498
    },
    "harness|hendrycksTest-high_school_government_and_politics|5": {
        "acc": 0.844559585492228,
        "acc_stderr": 0.026148483469153314,
        "acc_norm": 0.844559585492228,
        "acc_norm_stderr": 0.026148483469153314
    },
    "harness|hendrycksTest-high_school_macroeconomics|5": {
        "acc": 0.6205128205128205,
        "acc_stderr": 0.024603626924097417,
        "acc_norm": 0.6205128205128205,
        "acc_norm_stderr": 0.024603626924097417
    },
    "harness|hendrycksTest-high_school_mathematics|5": {
        "acc": 0.337037037037037,
        "acc_stderr": 0.028820884666253252,
        "acc_norm": 0.337037037037037,
        "acc_norm_stderr": 0.028820884666253252
    },
    "harness|hendrycksTest-high_school_microeconomics|5": {
        "acc": 0.6260504201680672,
        "acc_stderr": 0.031429466378837076,
        "acc_norm": 0.6260504201680672,
        "acc_norm_stderr": 0.031429466378837076
    },
    "harness|hendrycksTest-high_school_physics|5": {
        "acc": 0.33774834437086093,
        "acc_stderr": 0.03861557546255169,
        "acc_norm": 0.33774834437086093,
        "acc_norm_stderr": 0.03861557546255169
    },
    "harness|hendrycksTest-high_school_psychology|5": {
        "acc": 0.7944954128440367,
        "acc_stderr": 0.01732435232501601,
        "acc_norm": 0.7944954128440367,
        "acc_norm_stderr": 0.01732435232501601
    },
    "harness|hendrycksTest-high_school_statistics|5": {
        "acc": 0.5046296296296297,
        "acc_stderr": 0.03409825519163572,
        "acc_norm": 0.5046296296296297,
        "acc_norm_stderr": 0.03409825519163572
    },
    "harness|hendrycksTest-high_school_us_history|5": {
        "acc": 0.8137254901960784,
        "acc_stderr": 0.027325470966716312,
        "acc_norm": 0.8137254901960784,
        "acc_norm_stderr": 0.027325470966716312
    },
    "harness|hendrycksTest-high_school_world_history|5": {
        "acc": 0.7763713080168776,
        "acc_stderr": 0.027123298205229966,
        "acc_norm": 0.7763713080168776,
        "acc_norm_stderr": 0.027123298205229966
    },
    "harness|hendrycksTest-human_aging|5": {
        "acc": 0.6860986547085202,
        "acc_stderr": 0.031146796482972465,
        "acc_norm": 0.6860986547085202,
        "acc_norm_stderr": 0.031146796482972465
    },
    "harness|hendrycksTest-human_sexuality|5": {
        "acc": 0.7557251908396947,
        "acc_stderr": 0.037683359597287434,
        "acc_norm": 0.7557251908396947,
        "acc_norm_stderr": 0.037683359597287434
    },
    "harness|hendrycksTest-international_law|5": {
        "acc": 0.7851239669421488,
        "acc_stderr": 0.037494924487096966,
        "acc_norm": 0.7851239669421488,
        "acc_norm_stderr": 0.037494924487096966
    },
    "harness|hendrycksTest-jurisprudence|5": {
        "acc": 0.75,
        "acc_stderr": 0.04186091791394607,
        "acc_norm": 0.75,
        "acc_norm_stderr": 0.04186091791394607
    },
    "harness|hendrycksTest-logical_fallacies|5": {
        "acc": 0.7791411042944786,
        "acc_stderr": 0.03259177392742178,
        "acc_norm": 0.7791411042944786,
        "acc_norm_stderr": 0.03259177392742178
    },
    "harness|hendrycksTest-machine_learning|5": {
        "acc": 0.41964285714285715,
        "acc_stderr": 0.04684099321077106,
        "acc_norm": 0.41964285714285715,
        "acc_norm_stderr": 0.04684099321077106
    },
    "harness|hendrycksTest-management|5": {
        "acc": 0.7961165048543689,
        "acc_stderr": 0.039891398595317706,
        "acc_norm": 0.7961165048543689,
        "acc_norm_stderr": 0.039891398595317706
    },
    "harness|hendrycksTest-marketing|5": {
        "acc": 0.8589743589743589,
        "acc_stderr": 0.022801382534597528,
        "acc_norm": 0.8589743589743589,
        "acc_norm_stderr": 0.022801382534597528
    },
    "harness|hendrycksTest-medical_genetics|5": {
        "acc": 0.73,
        "acc_stderr": 0.044619604333847394,
        "acc_norm": 0.73,
        "acc_norm_stderr": 0.044619604333847394
    },
    "harness|hendrycksTest-miscellaneous|5": {
        "acc": 0.8135376756066411,
        "acc_stderr": 0.013927751372001501,
        "acc_norm": 0.8135376756066411,
        "acc_norm_stderr": 0.013927751372001501
    },
    "harness|hendrycksTest-moral_disputes|5": {
        "acc": 0.6994219653179191,
        "acc_stderr": 0.0246853168672578,
        "acc_norm": 0.6994219653179191,
        "acc_norm_stderr": 0.0246853168672578
    },
    "harness|hendrycksTest-moral_scenarios|5": {
        "acc": 0.4033519553072626,
        "acc_stderr": 0.01640712303219525,
        "acc_norm": 0.4033519553072626,
        "acc_norm_stderr": 0.01640712303219525
    },
    "harness|hendrycksTest-nutrition|5": {
        "acc": 0.7320261437908496,
        "acc_stderr": 0.02536060379624255,
        "acc_norm": 0.7320261437908496,
        "acc_norm_stderr": 0.02536060379624255
    },
    "harness|hendrycksTest-philosophy|5": {
        "acc": 0.7009646302250804,
        "acc_stderr": 0.02600330111788514,
        "acc_norm": 0.7009646302250804,
        "acc_norm_stderr": 0.02600330111788514
    },
    "harness|hendrycksTest-prehistory|5": {
        "acc": 0.7067901234567902,
        "acc_stderr": 0.025329888171900926,
        "acc_norm": 0.7067901234567902,
        "acc_norm_stderr": 0.025329888171900926
    },
    "harness|hendrycksTest-professional_accounting|5": {
        "acc": 0.49645390070921985,
        "acc_stderr": 0.02982674915328092,
        "acc_norm": 0.49645390070921985,
        "acc_norm_stderr": 0.02982674915328092
    },
    "harness|hendrycksTest-professional_law|5": {
        "acc": 0.44784876140808344,
        "acc_stderr": 0.01270058240476822,
        "acc_norm": 0.44784876140808344,
        "acc_norm_stderr": 0.01270058240476822
    },
    "harness|hendrycksTest-professional_medicine|5": {
        "acc": 0.6397058823529411,
        "acc_stderr": 0.029163128570670733,
        "acc_norm": 0.6397058823529411,
        "acc_norm_stderr": 0.029163128570670733
    },
    "harness|hendrycksTest-professional_psychology|5": {
        "acc": 0.6666666666666666,
        "acc_stderr": 0.019070985589687495,
        "acc_norm": 0.6666666666666666,
        "acc_norm_stderr": 0.019070985589687495
    },
    "harness|hendrycksTest-public_relations|5": {
        "acc": 0.6727272727272727,
        "acc_stderr": 0.0449429086625209,
        "acc_norm": 0.6727272727272727,
        "acc_norm_stderr": 0.0449429086625209
    },
    "harness|hendrycksTest-security_studies|5": {
        "acc": 0.7020408163265306,
        "acc_stderr": 0.029279567411065677,
        "acc_norm": 0.7020408163265306,
        "acc_norm_stderr": 0.029279567411065677
    },
    "harness|hendrycksTest-sociology|5": {
        "acc": 0.7960199004975125,
        "acc_stderr": 0.02849317624532607,
        "acc_norm": 0.7960199004975125,
        "acc_norm_stderr": 0.02849317624532607
    },
    "harness|hendrycksTest-us_foreign_policy|5": {
        "acc": 0.84,
        "acc_stderr": 0.03684529491774709,
        "acc_norm": 0.84,
        "acc_norm_stderr": 0.03684529491774709
    },
    "harness|hendrycksTest-virology|5": {
        "acc": 0.5542168674698795,
        "acc_stderr": 0.03869543323472101,
        "acc_norm": 0.5542168674698795,
        "acc_norm_stderr": 0.03869543323472101
    },
    "harness|hendrycksTest-world_religions|5": {
        "acc": 0.8011695906432749,
        "acc_stderr": 0.03061111655743253,
        "acc_norm": 0.8011695906432749,
        "acc_norm_stderr": 0.03061111655743253
    },
    "harness|truthfulqa:mc|0": {
        "mc1": 0.2802937576499388,
        "mc1_stderr": 0.015723139524608767,
        "mc2": 0.435601924823795,
        "mc2_stderr": 0.014179199089974604
    },
    "harness|winogrande|5": {
        "acc": 0.7932123125493291,
        "acc_stderr": 0.011382566829235805
    },
    "harness|gsm8k|5": {
        "acc": 0.3510235026535254,
        "acc_stderr": 0.01314694594139722
    }
}

RichardErkhov/HenryJJ_-_Instruct_Mistral-7B-v0.1_Dolly15K-gguf