[GUEST ACCESS MODE: Data is scrambled or limited to provide examples. Make requests using your API key to unlock full data. Check https://lunarcrush.ai/auth for authentication information.] #  @UnslothAI Unsloth AI Unsloth AI posts on X about llm, k2, kimi, llamacpp the most. They currently have XXXXXX followers and XX posts still getting attention that total XXXXX engagements in the last XX hours. ### Engagements: XXXXX [#](/creator/twitter::1730159888402395136/interactions)  - X Week XXXXXXX +180% - X Month XXXXXXX -XXXX% - X Months XXXXXXXXX +472% - X Year XXXXXXXXX +5,113% ### Mentions: X [#](/creator/twitter::1730159888402395136/posts_active)  - X Months XX +31% ### Followers: XXXXXX [#](/creator/twitter::1730159888402395136/followers)  - X Week XXXXXX +2.20% - X Month XXXXXX +5.10% - X Months XXXXXX +196% - X Year XXXXXX +794% ### CreatorRank: XXXXXXX [#](/creator/twitter::1730159888402395136/influencer_rank)  ### Social Influence [#](/creator/twitter::1730159888402395136/influence) --- **Social topic influence** [llm](/topic/llm), [k2](/topic/k2), [kimi](/topic/kimi), [llamacpp](/topic/llamacpp) #1, [ollama](/topic/ollama), [inference](/topic/inference), [bug](/topic/bug) ### Top Social Posts [#](/creator/twitter::1730159888402395136/posts) --- Top posts by engagements in the last XX hours "You can now run Kimi K2 locally with our Dynamic 1.8-bit GGUFs We shrank the full 1.1TB model to just 245GB (-80% size reduction). The 2-bit XL GGUF performs exceptionally well on coding & passes all our code tests Guide: GGUFs:"  [@UnslothAI](/creator/x/UnslothAI) on [X](/post/tweet/1944780685409165589) 2025-07-14 15:27:02 UTC 26.7K followers, 124.8K engagements "You can now fine-tune TTS models with Unsloth Train run and save models like Sesame-CSM and OpenAI's Whisper locally with our free notebooks. Unsloth makes TTS training 1.5x faster with XX% less VRAM. GitHub: Docs & Notebooks:"  [@UnslothAI](/creator/x/UnslothAI) on [X](/post/tweet/1923055371008213086) 2025-05-15 16:38:23 UTC 26.7K followers, 125.4K engagements "A Complete Guide to Fine-tuning LLMs in XX mins Learn to: Choose the correct model & training method (LoRA FFT GRPO) Build Datasets & Chat templates Train with Unsloth notebooks Run & deploy your LLM in llama.cpp Ollama & Open WebUI Docs:"  [@UnslothAI](/creator/x/UnslothAI) on [X](/post/tweet/1945481829206905055) 2025-07-16 13:53:08 UTC 26.7K followers, 26.9K engagements "For fast inference of 5+ tokens/s try to have your RAM + VRAM combined = the size of quant (e.g. 256GB). If not the model will still run with llama.cpp offloading but be slower. Kimi K2 GGUF:"  [@UnslothAI](/creator/x/UnslothAI) on [X](/post/tweet/1944798892811485670) 2025-07-14 16:39:23 UTC 26.7K followers, 5057 engagements "Mistral releases Devstral 2507 the best open-source model for coding agents 🔥 The 24B model is now the #1 open LLM on SWE-Bench Verified scoring XXXX% Run Devstral-Small-2507 locally on 32GB RAM with our Dynamic quants & fine-tune with Unsloth GGUFs:"  [@UnslothAI](/creator/x/UnslothAI) on [X](/post/tweet/1943317113655189557) 2025-07-10 14:31:19 UTC 26.7K followers, 24.7K engagements "Weve teamed up with @GoogleDeepMind for a challenge with a $10000 Unsloth prize 🦥 Show off your best fine-tuned Gemma 3n model using Unsloth optimized for an impactful task. The entire hackathon has $150000 prizes to be won Kaggle notebook:"  [@UnslothAI](/creator/x/UnslothAI) on [X](/post/tweet/1940414492791468240) 2025-07-02 14:17:20 UTC 26.7K followers, 46K engagements "We made step-by-step guides to Fine-tune & Run every single LLM 🦥 What you'll learn: Technical analysis + Bug fixes explained for each model Best practices & optimal settings How to fine-tune with our notebooks Directory of model variants"  [@UnslothAI](/creator/x/UnslothAI) on [X](/post/tweet/1942581217838211543) 2025-07-08 13:47:08 UTC 26.7K followers, 49.4K engagements
[GUEST ACCESS MODE: Data is scrambled or limited to provide examples. Make requests using your API key to unlock full data. Check https://lunarcrush.ai/auth for authentication information.]
@UnslothAI Unsloth AI
Unsloth AI posts on X about llm, k2, kimi, llamacpp the most. They currently have XXXXXX followers and XX posts still getting attention that total XXXXX engagements in the last XX hours.
Engagements: XXXXX #
- X Week XXXXXXX +180%
- X Month XXXXXXX -XXXX%
- X Months XXXXXXXXX +472%
- X Year XXXXXXXXX +5,113%
Mentions: X #
- X Months XX +31%
Followers: XXXXXX #
- X Week XXXXXX +2.20%
- X Month XXXXXX +5.10%
- X Months XXXXXX +196%
- X Year XXXXXX +794%
CreatorRank: XXXXXXX #
Social Influence #
Social topic influence llm, k2, kimi, llamacpp #1, ollama, inference, bug
Top Social Posts #
Top posts by engagements in the last XX hours
"You can now run Kimi K2 locally with our Dynamic 1.8-bit GGUFs We shrank the full 1.1TB model to just 245GB (-80% size reduction). The 2-bit XL GGUF performs exceptionally well on coding & passes all our code tests Guide: GGUFs:"
@UnslothAI on X 2025-07-14 15:27:02 UTC 26.7K followers, 124.8K engagements
"You can now fine-tune TTS models with Unsloth Train run and save models like Sesame-CSM and OpenAI's Whisper locally with our free notebooks. Unsloth makes TTS training 1.5x faster with XX% less VRAM. GitHub: Docs & Notebooks:" @UnslothAI on X 2025-05-15 16:38:23 UTC 26.7K followers, 125.4K engagements
"A Complete Guide to Fine-tuning LLMs in XX mins Learn to: Choose the correct model & training method (LoRA FFT GRPO) Build Datasets & Chat templates Train with Unsloth notebooks Run & deploy your LLM in llama.cpp Ollama & Open WebUI Docs:" @UnslothAI on X 2025-07-16 13:53:08 UTC 26.7K followers, 26.9K engagements
"For fast inference of 5+ tokens/s try to have your RAM + VRAM combined = the size of quant (e.g. 256GB). If not the model will still run with llama.cpp offloading but be slower. Kimi K2 GGUF:" @UnslothAI on X 2025-07-14 16:39:23 UTC 26.7K followers, 5057 engagements
"Mistral releases Devstral 2507 the best open-source model for coding agents 🔥 The 24B model is now the #1 open LLM on SWE-Bench Verified scoring XXXX% Run Devstral-Small-2507 locally on 32GB RAM with our Dynamic quants & fine-tune with Unsloth GGUFs:" @UnslothAI on X 2025-07-10 14:31:19 UTC 26.7K followers, 24.7K engagements
"Weve teamed up with @GoogleDeepMind for a challenge with a $10000 Unsloth prize 🦥 Show off your best fine-tuned Gemma 3n model using Unsloth optimized for an impactful task. The entire hackathon has $150000 prizes to be won Kaggle notebook:" @UnslothAI on X 2025-07-02 14:17:20 UTC 26.7K followers, 46K engagements
"We made step-by-step guides to Fine-tune & Run every single LLM 🦥 What you'll learn: Technical analysis + Bug fixes explained for each model Best practices & optimal settings How to fine-tune with our notebooks Directory of model variants" @UnslothAI on X 2025-07-08 13:47:08 UTC 26.7K followers, 49.4K engagements