Model: cstr/mt0-large-Q4_K_M-GGUF
Author: cstr
Pipeline: text-generation
Tags: gguf, llama-cpp, gguf-my-repo, text2text-generation, af, am, ar, az, be, bg, bn, ca, ceb, co, cs, cy, da, de, el, en, eo, es, et, eu, fa, fi, fil, fr, fy, ga, gd, gl, gu, ha, haw, hi, hmn, ht, hu, hy, ig, is, it, iw, ja, jv, ka, kk, km, kn, ko, ku, ky, la, lb, lo, lt, lv, mg, mi, mk, ml, mn, mr, ms, mt, my, ne, nl, no, ny, pa, pl, ps, pt, ro, ru, sd, si, sk, sl, sm, sn, so, sq, sr, st, su, sv, sw, ta, te, tg, th, tr, uk, und, ur, uz, vi, xh, yi, yo, zh, zu, dataset:bigscience/xP3, dataset:mc4, base_model:bigscience/mt0-large, base_model:quantized:bigscience/mt0-large, license:apache-2.0, model-index, endpoints_compatible, region:us
Base models (quantized): id: bigscience/mt0-large
Card metadata: datasets: bigscience/xP3, mc4
license: apache-2.0
language: af, am, ar, az, be, bg, bn, ca, ceb, co, cs, cy, da, de, el, en, eo, es, et, eu, fa, fi, fil, fr, fy, ga, gd, gl, gu, ha, haw, hi, hmn, ht, hu, hy, ig, is, it, iw, ja, jv, ka, kk, km, kn, ko, ku, ky, la, lb, lo, lt, lv, mg, mi, mk, ml, mn, mr, ms, mt, my, ne, nl, no, ny, pa, pl, ps, pt, ro, ru, sd, si, sk, sl, sm, sn, so, sq, sr, st, su, sv, sw, ta, te, tg, th, tr, uk, und, ur, uz, vi, xh, yi, yo, zh, zu
pipeline_tag: text2text-generation
widget: text: 一个传奇的开端，一个不灭的神话，这不仅仅是一部电影，而是作为一个走进新时代的标签，永远彪炳史册。Would you rate the previous review as positive, neutral or negative?
example_title: zh-en sentiment, text: 一个传奇的开端，一个不灭的神话，这不仅仅是一部电影，而是作为一个走进新时代的标签，永远彪炳史册。你认为这句话的立场是赞扬、中立还是批评？
example_title: zh-zh sentiment, text: Suggest at least five related search terms to "Mạng neural nhân tạo".
example_title: vi-en query, text: Proposez au moins cinq mots clés concernant «Réseau de neurones artificiels».
example_title: fr-fr query, text: Explain in a sentence in Telugu what is backpropagation in neural networks.
example_title: te-en qa, text: Why is the sky blue?
example_title: en-en qa, text: Write a fairy tale about a troll saving a princess from a dangerous dragon. The fairy tale is a masterpiece that has achieved praise worldwide and its moral is "Heroes Come in All Shapes and Sizes". Story (in Spanish):
example_title: es-en fable, text: Write a fable about wood elves living in a forest that is suddenly invaded by ogres. The fable is a masterpiece that has achieved praise worldwide and its moral is "Violence is the last refuge of the incompetent". Fable (in Hindi):
example_title: hi-en fable
tags: llama-cpp, gguf-my-repo
base_model: bigscience/mt0-large
model-index: name: mt0-large
results: task: type: Coreference resolution
dataset: name: Winogrande XL (xl)
type: winogrande
config: xl
split: validation
revision: a80f460359d1e9a67c006011c94de42a8759430c
metrics: type: Accuracy
value: 51.78
verified: no, task: type: Coreference resolution
dataset: name: XWinograd (en)
type: Muennighoff/xwinograd
config: en
split: test
revision: 9dd5ea5505fad86b7bedad667955577815300cee
metrics: type: Accuracy
value: 54.8
verified: no, task: type: Coreference resolution
dataset: name: XWinograd (fr)
type: Muennighoff/xwinograd
config: fr
split: test
revision: 9dd5ea5505fad86b7bedad667955577815300cee
metrics: type: Accuracy
value: 56.63
verified: no, task: type: Coreference resolution
dataset: name: XWinograd (jp)
type: Muennighoff/xwinograd
config: jp
split: test
revision: 9dd5ea5505fad86b7bedad667955577815300cee
metrics: type: Accuracy
value: 53.08
verified: no, task: type: Coreference resolution
dataset: name: XWinograd (pt)
type: Muennighoff/xwinograd
config: pt
split: test
revision: 9dd5ea5505fad86b7bedad667955577815300cee
metrics: type: Accuracy
value: 56.27
verified: no, task: type: Coreference resolution
dataset: name: XWinograd (ru)
type: Muennighoff/xwinograd
config: ru
split: test
revision: 9dd5ea5505fad86b7bedad667955577815300cee
metrics: type: Accuracy
value: 55.56
verified: no, task: type: Coreference resolution
dataset: name: XWinograd (zh)
type: Muennighoff/xwinograd
config: zh
split: test
revision: 9dd5ea5505fad86b7bedad667955577815300cee
metrics: type: Accuracy
value: 54.37
verified: no, task: type: Natural language inference
dataset: name: ANLI (r1)
type: anli
config: r1
split: validation
revision: 9dbd830a06fea8b1c49d6e5ef2004a08d9f45094
metrics: type: Accuracy
value: 33.3
verified: no, task: type: Natural language inference
dataset: name: ANLI (r2)
type: anli
config: r2
split: validation
revision: 9dbd830a06fea8b1c49d6e5ef2004a08d9f45094
metrics: type: Accuracy
value: 34.7
verified: no, task: type: Natural language inference
dataset: name: ANLI (r3)
type: anli
config: r3
split: validation
revision: 9dbd830a06fea8b1c49d6e5ef2004a08d9f45094
metrics: type: Accuracy
value: 34.75
verified: no, task: type: Natural language inference
dataset: name: SuperGLUE (cb)
type: super_glue
config: cb
split: validation
revision: 9e12063561e7e6c79099feb6d5a493142584e9e2
metrics: type: Accuracy
value: 51.79
verified: no, task: type: Natural language inference
dataset: name: SuperGLUE (rte)
type: super_glue
config: rte
split: validation
revision: 9e12063561e7e6c79099feb6d5a493142584e9e2
metrics: type: Accuracy
value: 64.26
verified: no, task: type: Natural language inference
dataset: name: XNLI (ar)
type: xnli
config: ar
split: validation
revision: a5a45e4ff92d5d3f34de70aaf4b72c3bdf9f7f16
metrics: type: Accuracy
value: 42.61
verified: no, task: type: Natural language inference
dataset: name: XNLI (bg)
type: xnli
config: bg
split: validation
revision: a5a45e4ff92d5d3f34de70aaf4b72c3bdf9f7f16
metrics: type: Accuracy
value: 43.94
verified: no, task: type: Natural language inference
dataset: name: XNLI (de)
type: xnli
config: de
split: validation
revision: a5a45e4ff92d5d3f34de70aaf4b72c3bdf9f7f16
metrics: type: Accuracy
value: 44.18
verified: no, task: type: Natural language inference
dataset: name: XNLI (el)
type: xnli
config: el
split: validation
revision: a5a45e4ff92d5d3f34de70aaf4b72c3bdf9f7f16
metrics: type: Accuracy
value: 43.94
verified: no, task: type: Natural language inference
dataset: name: XNLI (en)
type: xnli
config: en
split: validation
revision: a5a45e4ff92d5d3f34de70aaf4b72c3bdf9f7f16
metrics: type: Accuracy
value: 44.26
verified: no, task: type: Natural language inference
dataset: name: XNLI (es)
type: xnli
config: es
split: validation
revision: a5a45e4ff92d5d3f34de70aaf4b72c3bdf9f7f16
metrics: type: Accuracy
value: 45.34
verified: no, task: type: Natural language inference
dataset: name: XNLI (fr)
type: xnli
config: fr
split: validation
revision: a5a45e4ff92d5d3f34de70aaf4b72c3bdf9f7f16
metrics: type: Accuracy
value: 42.01
verified: no, task: type: Natural language inference
dataset: name: XNLI (hi)
type: xnli
config: hi
split: validation
revision: a5a45e4ff92d5d3f34de70aaf4b72c3bdf9f7f16
metrics: type: Accuracy
value: 41.89
verified: no, task: type: Natural language inference
dataset: name: XNLI (ru)
type: xnli
config: ru
split: validation
revision: a5a45e4ff92d5d3f34de70aaf4b72c3bdf9f7f16
metrics: type: Accuracy
value: 42.13
verified: no, task: type: Natural language inference
dataset: name: XNLI (sw)
type: xnli
config: sw
split: validation
revision: a5a45e4ff92d5d3f34de70aaf4b72c3bdf9f7f16
metrics: type: Accuracy
value: 40.08
verified: no, task: type: Natural language inference
dataset: name: XNLI (th)
type: xnli
config: th
split: validation
revision: a5a45e4ff92d5d3f34de70aaf4b72c3bdf9f7f16
metrics: type: Accuracy
value: 40.8
verified: no, task: type: Natural language inference
dataset: name: XNLI (tr)
type: xnli
config: tr
split: validation
revision: a5a45e4ff92d5d3f34de70aaf4b72c3bdf9f7f16
metrics: type: Accuracy
value: 41.29
verified: no, task: type: Natural language inference
dataset: name: XNLI (ur)
type: xnli
config: ur
split: validation
revision: a5a45e4ff92d5d3f34de70aaf4b72c3bdf9f7f16
metrics: type: Accuracy
value: 39.88
verified: no, task: type: Natural language inference
dataset: name: XNLI (vi)
type: xnli
config: vi
split: validation
revision: a5a45e4ff92d5d3f34de70aaf4b72c3bdf9f7f16
metrics: type: Accuracy
value: 41.81
verified: no, task: type: Natural language inference
dataset: name: XNLI (zh)
type: xnli
config: zh
split: validation
revision: a5a45e4ff92d5d3f34de70aaf4b72c3bdf9f7f16
metrics: type: Accuracy
value: 40.84
verified: no, task: type: Sentence completion
dataset: name: StoryCloze (2016)
type: story_cloze
config: 2016
split: validation
revision: e724c6f8cdf7c7a2fb229d862226e15b023ee4db
metrics: type: Accuracy
value: 59.49
verified: no, task: type: Sentence completion
dataset: name: SuperGLUE (copa)
type: super_glue
config: copa
split: validation
revision: 9e12063561e7e6c79099feb6d5a493142584e9e2
metrics: type: Accuracy
value: 65
verified: no, task: type: Sentence completion
dataset: name: XCOPA (et)
type: xcopa
config: et
split: validation
revision: 37f73c60fb123111fa5af5f9b705d0b3747fd187
metrics: type: Accuracy
value: 56
verified: no, task: type: Sentence completion
dataset: name: XCOPA (ht)
type: xcopa
config: ht
split: validation
revision: 37f73c60fb123111fa5af5f9b705d0b3747fd187
metrics: type: Accuracy
value: 62
verified: no, task: type: Sentence completion
dataset: name: XCOPA (id)
type: xcopa
config: id
split: validation
revision: 37f73c60fb123111fa5af5f9b705d0b3747fd187
metrics: type: Accuracy
value: 61
verified: no, task: type: Sentence completion
dataset: name: XCOPA (it)
type: xcopa
config: it
split: validation
revision: 37f73c60fb123111fa5af5f9b705d0b3747fd187
metrics: type: Accuracy
value: 63
verified: no, task: type: Sentence completion
dataset: name: XCOPA (qu)
type: xcopa
config: qu
split: validation
revision: 37f73c60fb123111fa5af5f9b705d0b3747fd187
metrics: type: Accuracy
value: 57
verified: no, task: type: Sentence completion
dataset: name: XCOPA (sw)
type: xcopa
config: sw
split: validation
revision: 37f73c60fb123111fa5af5f9b705d0b3747fd187
metrics: type: Accuracy
value: 54
verified: no, task: type: Sentence completion
dataset: name: XCOPA (ta)
type: xcopa
config: ta
split: validation
revision: 37f73c60fb123111fa5af5f9b705d0b3747fd187
metrics: type: Accuracy
value: 62
verified: no, task: type: Sentence completion
dataset: name: XCOPA (th)
type: xcopa
config: th
split: validation
revision: 37f73c60fb123111fa5af5f9b705d0b3747fd187
metrics: type: Accuracy
value: 57
verified: no, task: type: Sentence completion
dataset: name: XCOPA (tr)
type: xcopa
config: tr
split: validation
revision: 37f73c60fb123111fa5af5f9b705d0b3747fd187
metrics: type: Accuracy
value: 57
verified: no, task: type: Sentence completion
dataset: name: XCOPA (vi)
type: xcopa
config: vi
split: validation
revision: 37f73c60fb123111fa5af5f9b705d0b3747fd187
metrics: type: Accuracy
value: 63
verified: no, task: type: Sentence completion
dataset: name: XCOPA (zh)
type: xcopa
config: zh
split: validation
revision: 37f73c60fb123111fa5af5f9b705d0b3747fd187
metrics: type: Accuracy
value: 58
verified: no, task: type: Sentence completion
dataset: name: XStoryCloze (ar)
type: Muennighoff/xstory_cloze
config: ar
split: validation
revision: 8bb76e594b68147f1a430e86829d07189622b90d
metrics: type: Accuracy
value: 56.59
verified: no, task: type: Sentence completion
dataset: name: XStoryCloze (es)
type: Muennighoff/xstory_cloze
config: es
split: validation
revision: 8bb76e594b68147f1a430e86829d07189622b90d
metrics: type: Accuracy
value: 55.72
verified: no, task: type: Sentence completion
dataset: name: XStoryCloze (eu)
type: Muennighoff/xstory_cloze
config: eu
split: validation
revision: 8bb76e594b68147f1a430e86829d07189622b90d
metrics: type: Accuracy
value: 52.61
verified: no, task: type: Sentence completion
dataset: name: XStoryCloze (hi)
type: Muennighoff/xstory_cloze
config: hi
split: validation
revision: 8bb76e594b68147f1a430e86829d07189622b90d
metrics: type: Accuracy
value: 52.15
verified: no, task: type: Sentence completion
dataset: name: XStoryCloze (id)
type: Muennighoff/xstory_cloze
config: id
split: validation
revision: 8bb76e594b68147f1a430e86829d07189622b90d
metrics: type: Accuracy
value: 54.67
verified: no, task: type: Sentence completion
dataset: name: XStoryCloze (my)
type: Muennighoff/xstory_cloze
config: my
split: validation
revision: 8bb76e594b68147f1a430e86829d07189622b90d
metrics: type: Accuracy
value: 51.69
verified: no, task: type: Sentence completion
dataset: name: XStoryCloze (ru)
type: Muennighoff/xstory_cloze
config: ru
split: validation
revision: 8bb76e594b68147f1a430e86829d07189622b90d
metrics: type: Accuracy
value: 53.74
verified: no, task: type: Sentence completion
dataset: name: XStoryCloze (sw)
type: Muennighoff/xstory_cloze
config: sw
split: validation
revision: 8bb76e594b68147f1a430e86829d07189622b90d
metrics: type: Accuracy
value: 55.53
verified: no, task: type: Sentence completion
dataset: name: XStoryCloze (te)
type: Muennighoff/xstory_cloze
config: te
split: validation
revision: 8bb76e594b68147f1a430e86829d07189622b90d
metrics: type: Accuracy
value: 57.18
verified: no, task: type: Sentence completion
dataset: name: XStoryCloze (zh)
type: Muennighoff/xstory_cloze
config: zh
split: validation
revision: 8bb76e594b68147f1a430e86829d07189622b90d
metrics: type: Accuracy
value: 59.5
verified: no
Likes: 0 | All-time downloads: 186
Created: 2025-06-04 08:02:01