Georgi Gerganov ✓

@ggerganov · joined 27 May 2015

24th at the Electrica puzzle challenge | building https://t.co/baTQS2bL7I | engineer @huggingface

71 426Followers

294Following

1 771Posts total

1.6MViews on collected posts

Derniers posts

Georgi Gerganov ✓@ggerganov4 Sep

Hugging Face has been acquired by NVIDIA It is quite exciting to be a part of this journey! NVIDIA has been an active supporter of the llama.cpp project. For more than a year now, their engineers have actively contributed to the codebase, collaborated with the community and 46.1K views · 542 likes · 48 reposts · 25 replies Open on X →

Georgi Gerganov ✓@ggerganov1 Sep

The Llama app for Mac now comes with a simple request builder for llama.cpp's REST API https://t.co/irwUZEykBC 19.5K views · 111 likes · 6 reposts · 13 replies Open on X →

Georgi Gerganov ✓@ggerganov18 Aug

@ggerganov but... https://t.co/rG7tatuHFA 4.6K views · 37 likes · 1 reposts · 7 replies Open on X →

Georgi Gerganov ✓@ggerganov17 Aug

@ggerganov what if opus5 has been a thick 27B all along...? https://t.co/HCf2Q0xXJy 8.1K views · 90 likes · 1 reposts · 3 replies Open on X →

Georgi Gerganov ✓@ggerganov17 Aug

@ggerganov I really do hope you're not posting that with straight face 5.4K views · 38 likes · 0 reposts · 2 replies Open on X →

Georgi Gerganov ✓@ggerganov17 Aug

let that sink in https://t.co/rCficQYZB7 742.3K views · 2.8K likes · 249 reposts · 120 replies Open on X →

Georgi Gerganov ✓@ggerganov17 Aug

I find the "inception" pattern to be very useful in many agentic use cases. You can force the model to take an action when it thinks for too long by injecting a thought after a specified reasoning budget. Helps dealing with underspecified tasks which make the model reason for 110.2K views · 488 likes · 36 reposts · 27 replies Open on X →

Georgi Gerganov ✓@ggerganov17 Aug

to limit the max reasoning length, add: ... \ --reasoning-budget 4096 \ --reasoning-budget-message "... I am thinking for too -- let me gather more info about the task." adjust to your needs 60.3K views · 216 likes · 13 reposts · 7 replies Open on X →

Georgi Gerganov ✓@ggerganov14 Aug

@ggerganov 16GB RTX 5080 Laptop: llama serve \ -hf unsloth/Qwen3.8-27B-GGUF \ -hff Qwen3.8-27B-UD-IQ3_XXS.gguf \ --no-mmproj -c 65536 \ -ctk q8_0 -ctv q8_0 \ -b 1024 -np 1 \ --spec-default --spec-type draft-mtp \ --reasoning-preserve --fit off --agent ~60 t/s. 14K views · 65 likes · 4 reposts · 2 replies Open on X →

Georgi Gerganov ✓@ggerganov14 Aug

on DGX Spark: llama serve \ -hf ggml-org/Qwen3.8-27B-GGUF:Q4_K_M \ -hfd ggml-org/Qwen3.8-27B-GGUF:Q4_0 \ --spec-default \ --spec-type draft-mtp \ --reasoning-preserve --agent 24K views · 132 likes · 3 reposts · 5 replies Open on X →

Georgi Gerganov ✓@ggerganov14 Aug

32GB VRAM (e.g. RTX 5090): llama serve \ -hf ggml-org/Qwen3.8-27B-GGUF:Q4_K_M \ -hfd ggml-org/Qwen3.8-27B-GGUF:Q4_0 \ --spec-default \ --spec-type draft-mtp \ --ctx-size 196608 \ --cache-type-k q8_0 \ --cache-type-v q8_0 \ --reasoning-preserve --fit off --agent 32.5K views · 242 likes · 12 reposts · 9 replies Open on X →

Georgi Gerganov ✓@ggerganov14 Aug

advanced: llama serve \ -hf ggml-org/Qwen3.8-27B-GGUF \ --spec-default \ --spec-type draft-mtp \ --reasoning-preserve --agent 32.1K views · 180 likes · 4 reposts · 3 replies Open on X →

Georgi Gerganov ✓@ggerganov14 Aug

enjoy! 22.1K views · 49 likes · 2 reposts · 3 replies Open on X →

Georgi Gerganov ✓@ggerganov14 Aug

simple: llama serve -hf ggml-org/Qwen3.8-27B-GGUF --spec-type draft-mtp 459.2K views · 2K likes · 132 reposts · 34 replies Open on X →

Face aux comptes de taille comparable

14 posts des 90 derniers jours, à côté de la tranche de 10K–100K abonnés. diffusé largement, mais peu de ces spectateurs réagissent.

Vues médianes28 044ce compte924médiane pour 10K–100K

Portée, %39.26%ce compte3.62%médiane pour 10K–100K

Engagement, %0.58%ce compte1.52%médiane pour 10K–100K

Indicateur	Ce compte	Médiane pour 10K–100K	Rapport
Vues médianes par post	28 044	924	30.4×
Portée (vues ÷ abonnés)	39.26%	3.62%	10.8×
Taux d'engagement	0.58%	1.52%	0.38×

Autres comptes de cette tranche → Comparer avec un autre compte → Comment ces repères sont établis →

Growth & engagement

How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.

Views per post

459.2K14 Aug

22.1K

32.1K

32.5K

24K

14K

60.3K17 Aug

110.2K

742.3K

5.4K

8.1K

4.6K18 Aug

19.5K1 Sep

46.1K4 Sep

Last 14 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.47%14 Aug

0.24%

0.58%

0.82%

0.58%

0.52%

0.40%17 Aug

0.51%

0.44%

0.74%

1.16%

0.99%18 Aug

0.67%1 Sep

1.36%4 Sep

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.52%.

What the audience does

Likes58.0%6 942 in total

Reposts4.3%511 in total

Replies2.2%260 in total

Quotes1.2%143 in total

Bookmarks34.4%4 115 in total

Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.

The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.

Derniers posts

Face aux comptes de taille comparable

Growth & engagement

Views per post

Engagement rate per post

What the audience does

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