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DeepSeek R1 Distill Qwen 14B vs DeepSeek-R1

Qiegħed żewġ mudelli sa erbgħa ma' xulxin fuq l-oqsma li jiddeċiedu deployment: kuntest, prezz, reġjun, liċenzja, lingwi, hosting, u x'hu verifikat.

DeepSeek R1 Distill Qwen 14BDeepSeek-R1
Fornitur DeepSeekDeepSeek
Parametri 14.8B684.49B
Tieqa tal-kuntest Mhux verifikat: il-fornitur ma ddokumentax din id-dikjarazzjoni.131k
Liċenzja mitmit
Modalitajiet texttext
Data tar-rilaxx 20 Jan 202520 Jan 2025
Lingwi Mhux verifikat: il-fornitur ma ddokumentax din id-dikjarazzjoni.Qawwi: en, zh
Adekwat: de, fr, es, it, pt, ru, ja, ko
Piżijiet miftuħa ivaiva
Kompiti RaġunamentRaġunament, Ikkodifikar, Sommarizzazzjoni

Fejn żewġ mudelli jvarjaw, din it-tabella turi d-differenza u tieqaf. LLM EU ma tippubblikax badge ta' rebbieħ mingħajr punteġġ dokumentat għal dik il-kompitu, u figura nieqsa tibqa' nieqsa minflok ma ssir żero.

Meta tużah

DeepSeek R1 Distill Qwen 14B

Saħħiet

  • open weights are published on Hugging Face and can be downloaded without a vendor agreement
  • mit licence, so commercial self-hosting is permitted without a separate agreement

Limiti

  • catalogue only — LLM EU does not run this model, and nothing on this card implies an LLM EU endpoint
  • no evaluation has been run by LLM EU
  • the published configuration records no context window, so the card carries none
  • at 14.8B parameters, self-hosting needs a single accelerator with enough memory for the weights

Kompiti

Raġunament

DeepSeek-R1

Saħħiet

  • MIT licence for a 671B-parameter reasoning model
  • published reasoning traces in the base training recipe
  • strong maths scores for a January 2025 release

Limiti

  • 671B parameters, so self-hosting is expensive
  • reasoning output is verbose and raises token cost
  • superseded by DeepSeek-V3.2 and V4-Flash for most workloads

Kompiti

Raġunament, Ikkodifikar, Sommarizzazzjoni

Kompiti: Raġunament

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