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Gemma 4 12B C++ Skate game through opencode. Done with a q8 quant.

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BijanBowen

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11,034 просмотров • 19 дней назад •via X (Twitter)

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A model reading the paper that invented it. Gemma 4 12B. From a screenshot. Local.
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A model reading the paper that invented it. Gemma 4 12B. From a screenshot. Local.

Osaurus

22,858 просмотров • 18 дней назад

Unlock local, agentic workflows with Gemma 4 12B and Google AI Edge, directly on your laptop. Experience 100% on-device AI: • Generate code in AI Edge Gallery (new to Mac) • Dictate and edit text via AI Edge Eloquent (new to Mac) • Serve Gemma 4 12B locally with LiteRT-LM Dive in:
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Unlock local, agentic workflows with Gemma 4 12B and Google AI Edge, directly on your laptop. Experience 100% on-device AI: • Generate code in AI Edge Gallery (new to Mac) • Dictate and edit text via AI Edge Eloquent (new to Mac) • Serve Gemma 4 12B locally with LiteRT-LM Dive in:

Google for Developers

138,847 просмотров • 19 дней назад

Gemma4 12B with Unsloth's Quant on DGX Spark Quants: - UD_Q4_K_XL - UD_Q5_K_XL - UD_Q6_K_XL - UD_Q8_K_XL Summary: - Q4: 25.21 tok/s, TTFT 168ms - Q5: 21.7 tok/s, TTFT 182ms - Q6: 17.68 tok/s, TTFT 193.95ms - Q8: 15.22 tok/s, TTFT 221ms
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Gemma4 12B with Unsloth's Quant on DGX Spark Quants: - UD_Q4_K_XL - UD_Q5_K_XL - UD_Q6_K_XL - UD_Q8_K_XL Summary: - Q4: 25.21 tok/s, TTFT 168ms - Q5: 21.7 tok/s, TTFT 182ms - Q6: 17.68 tok/s, TTFT 193.95ms - Q8: 15.22 tok/s, TTFT 221ms

stevibe

18,496 просмотров • 18 дней назад

A long time coming but new mlx-lm is here with better batching support in the server and Gemma 4. pip install -U mlx-lm Here is a video where a single M3 Ultra serves 5 opencode sessions with Gemma 4 26B that process ~130k tokens in ~1.5 minutes.
2:03

A long time coming but new mlx-lm is here with better batching support in the server and Gemma 4. pip install -U mlx-lm Here is a video where a single M3 Ultra serves 5 opencode sessions with Gemma 4 26B that process ~130k tokens in ~1.5 minutes.

Angelos Katharopoulos

66,095 просмотров • 2 месяцев назад

New Google Gemma 4 12B claims near-26B performance - we tested both! We ran both models locally on one RTX 4090 and gave each the same task: write a self-contained HTML5 canvas animation with real physics in one file without libraries. Three scenes - a Galton board, two blocks colliding off a wall, and a chaotic triple pendulum Outputs: Gemma 4 26B-A4B: 15 GB VRAM usage, 6.9k tokens, 138 tok/s Gemma 4 12B: 9 GB VRAM usage, 8.9k tokens, 80 tok/s Same Gemma 4 family, but the 26B-A4B won every scene and ran ~1.7x faster - on just 4B active params. The 12B stayed very close though, on almost half the VRAM - which makes it the ideal model for a 16 GB laptop
0:36

New Google Gemma 4 12B claims near-26B performance - we tested both! We ran both models locally on one RTX 4090 and gave each the same task: write a self-contained HTML5 canvas animation with real physics in one file without libraries. Three scenes - a Galton board, two blocks colliding off a wall, and a chaotic triple pendulum Outputs: Gemma 4 26B-A4B: 15 GB VRAM usage, 6.9k tokens, 138 tok/s Gemma 4 12B: 9 GB VRAM usage, 8.9k tokens, 80 tok/s Same Gemma 4 family, but the 26B-A4B won every scene and ran ~1.7x faster - on just 4B active params. The 12B stayed very close though, on almost half the VRAM - which makes it the ideal model for a 16 GB laptop

atomic.chat

150,374 просмотров • 19 дней назад

Gemma 4 12B dropped today. Apache 2.0, multimodal: text, image, audio, and video. 256K context, built-in thinking, native tool calling. Running on Red Hat OpenShift AI with vLLM on Day 0:
1:25

Gemma 4 12B dropped today. Apache 2.0, multimodal: text, image, audio, and video. 256K context, built-in thinking, native tool calling. Running on Red Hat OpenShift AI with vLLM on Day 0:

Red Hat AI

15,902 просмотров • 19 дней назад

I tested Gemma 4 12b on my Macbook Pro M5 Max with 128GB of unified memory. It runs VERY slow for a 12b parameter model. 44 tokens/second. The lava lamp that it produced was also terrible. I would stick to Qwen 3.6 27b or Qwen 3.6 35b. Google is still way behind, even with their local models.
1:36

I tested Gemma 4 12b on my Macbook Pro M5 Max with 128GB of unified memory. It runs VERY slow for a 12b parameter model. 44 tokens/second. The lava lamp that it produced was also terrible. I would stick to Qwen 3.6 27b or Qwen 3.6 35b. Google is still way behind, even with their local models.

BridgeMind

69,955 просмотров • 17 дней назад

Running Gemma 4 12B locally at 28T/s. Facing issues with vision in LM Studio, but text performance is quite solid. Asked it to create a landing page for a tech event. Video is fast forwarded for the demo.
0:40

Running Gemma 4 12B locally at 28T/s. Facing issues with vision in LM Studio, but text performance is quite solid. Asked it to create a landing page for a tech event. Video is fast forwarded for the demo.

AshutoshShrivastava

15,672 просмотров • 19 дней назад

2-bit Gemma 4 12B GGUF, only 4.66 GB on disk, managed to cite 15 sites from a single prompt. Try this locally on >6GB RAM via Unsloth Studio. GitHub:
0:48

2-bit Gemma 4 12B GGUF, only 4.66 GB on disk, managed to cite 15 sites from a single prompt. Try this locally on >6GB RAM via Unsloth Studio. GitHub:

Unsloth AI

142,139 просмотров • 18 дней назад

Trailer for 'Skate Mates', a multiplayer game where each player controls one skate, meaning you'll need teamwork to get through the tough obstacle courses
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Trailer for 'Skate Mates', a multiplayer game where each player controls one skate, meaning you'll need teamwork to get through the tough obstacle courses

Dexerto

165,001 просмотров • 1 месяц назад

Nasty C Media Runs with Skate Multimedia Studio
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Nasty C Media Runs with Skate Multimedia Studio

KALYJAY

34,070 просмотров • 6 месяцев назад

Optional morning skate ahead of game 4. The Captain:
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Optional morning skate ahead of game 4. The Captain:

Romi Bean

68,738 просмотров • 27 дней назад

console playtesting is happening! if you want a chance to playtest skate. and help shape the future of the game be sure to sign up to be a skate. Insider through the link in our bio.
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console playtesting is happening! if you want a chance to playtest skate. and help shape the future of the game be sure to sign up to be a skate. Insider through the link in our bio.

skate.

68,299 просмотров • 1 год назад

tag the friends you’re going to skate through San Vansterdam with below. 🛹 👇
0:36

tag the friends you’re going to skate through San Vansterdam with below. 🛹 👇

skate.

138,669 просмотров • 1 год назад

Unplugging completely! No WiFi and zero notifications. A great way to get deep focus on a project. Here is a walkthrough showing how to run Gemma 4 (26B A4B) fully offline with LM Studio & OpenCode to parse PDFs, ask questions, and build sites 100% locally.
15:06

Unplugging completely! No WiFi and zero notifications. A great way to get deep focus on a project. Here is a walkthrough showing how to run Gemma 4 (26B A4B) fully offline with LM Studio & OpenCode to parse PDFs, ask questions, and build sites 100% locally.

Google Gemma

235,568 просмотров • 2 месяцев назад

Super excited to introduce Gemma 4 12B! 💎 - Multimodal: audio, image, video, and text input - Novel architecture: we removed the multimodal encoders for a unified, streamlined arch - New MacOS desktop app powered by LiteRT - MTP support Excited to see what you build with it!
1:39

Super excited to introduce Gemma 4 12B! 💎 - Multimodal: audio, image, video, and text input - Novel architecture: we removed the multimodal encoders for a unified, streamlined arch - New MacOS desktop app powered by LiteRT - MTP support Excited to see what you build with it!

Omar Sanseviero

125,038 просмотров • 19 дней назад

have you played with Gemma 3-12B-IT on Hugging Face Spaces yet? 😏 you can also pull this and run locally if you feel like it 🤝 here's me asking Gemma 3 for styling tips (interleaved inference) 👒
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have you played with Gemma 3-12B-IT on Hugging Face Spaces yet? 😏 you can also pull this and run locally if you feel like it 🤝 here's me asking Gemma 3 for styling tips (interleaved inference) 👒

merve

17,275 просмотров • 1 год назад

i made the world first multiplayer TUI game with OpenCode join live with `bunx gametui`
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i made the world first multiplayer TUI game with OpenCode join live with `bunx gametui`

vogel

96,835 просмотров • 1 месяц назад

This video is at normal speed. Gemma 4 12B MLX version running locally at 50 tokens/sec. Thank you Google DeepMind team. This model feels really solid for a lot of small local tasks and everyday AI workflows.
0:50

This video is at normal speed. Gemma 4 12B MLX version running locally at 50 tokens/sec. Thank you Google DeepMind team. This model feels really solid for a lot of small local tasks and everyday AI workflows.

AshutoshShrivastava

19,782 просмотров • 18 дней назад

the July playtest was the first time we let skate. insiders explore the early stages of San Vansterdam and skate through the city. if you wanna roll with us be sure to become a skate. insider today. 👇
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the July playtest was the first time we let skate. insiders explore the early stages of San Vansterdam and skate through the city. if you wanna roll with us be sure to become a skate. insider today. 👇

skate.

125,432 просмотров • 2 лет назад