--- title: "Llama — AI hype score and trend · Above the Fog" canonical_url: https://abovethefog.app/topics/llama as_of: 2026-09-27 updated: 2026-09-28T22:02:40Z --- # Llama (🧠 Models) [Home](https://abovethefog.app/index.md) › [Topics](https://abovethefog.app/topics.md) › Llama Llama is 💤 Quiet on Above the Fog’s AI hype radar: a hype score of 0 out of 100 on Sep 27, 2026, 1 point lower than 7 days before. Its attention is within the normal range across the monitored sources. Meta's family of open-weight models (Llama 3/4), now overshadowed by the Muse models. First seen on Reddit · Sep 16 — the first monitored source to go above normal for it in the last 14 days. Why this stage: within the normal range across monitored sources. - **Stage:** 💤 Quiet — within the normal range across the monitored sources - **Hype score:** 0 / 100 · 0 in 1 day · −1.3 in 7 days - **In hype since:** not in hype now - **Peak, 30 days:** 13.3 on Sep 16, 2026 - **Category:** 🧠 Models - **Made by:** [Meta Superintelligence Labs](https://abovethefog.app/topics/meta_msl.md) - **Part of:** [Open-weight models](https://abovethefog.app/topics/open_weights.md) - **Official site:** [llama.com](https://llama.com) - **Sources above normal:** 0 of 25 scoring it (0 independent families) - **Stories in 7 days:** 41 - **Share of voice:** 0.1% of the radar’s attention in 7 days ## Where the attention comes from “Normal” is the median of the source’s previous 14 normal days for this topic. A source is above normal when its value is at least 30% over that level and stands out from its usual day-to-day variation (z ≥ 2); the share is the part of the hype score that source explains. “× normal” is left blank when the normal level is 0. | Source | Metric | Latest | Normal | × normal | Above normal | Share of score | |---|---|---:|---:|---:|---|---:| | Developer forums (Cursor, OpenAI, Hugging Face) | items | 1 | 0 | — | no | 0% | | DEV Community (dev.to) | items | 2 | 1.5 | 1.2× | no | 0% | | Bluesky | trending | 0 (Sep 26) | 0 | — | no | 0% | | Cerebral Valley (AI events) | events | 0 (Sep 26) | 0 | — | no | 0% | | GitHub | new repos | 0 (Sep 26) | 0 | — | no | 0% | | GitHub Trending | trending | 0 (Sep 26) | 0 | — | no | 0% | | Google Trends (Trending now) | trending | 0 (Sep 26) | 0 | — | no | 0% | | Hacker News | mentions | 0 | 0 | — | no | 0% | ## Stories behind it 1. [If Qwen4 completely abandons open-weight small LLMs \(≤14B\), who could step up to take Qwen’s place as the next standard-bearer for local small models?](https://www.reddit.com/r/LocalLLaMA/comments/1wp5u0p/) — Reddit (r/LocalLLaMA) · Sep 24 · score 0 · 39 comments 2. [KV Cache Math: Why Llama 3.1 8B at 128K Context Won't Fit in 24GB](https://dev.to/ji_ai/kv-cache-math-why-llama-31-8b-at-128k-context-wont-fit-in-24gb-566e) — DEV Community (dev.to) (#llm) · Sep 27 · score 0 · 1 comment 3. [Show HN: PicoLM v1.0-rc2 \("Yura Kana"\). Run an LLM on Digital Unix](https://news.ycombinator.com/item?id=49818282) — Hacker News (github.com) · Sep 23 · score 1 · 0 comments 4. [Unguarded LLMs which I can reasonably run on my hardware \(Beelink SER5 MAX / AMD Ryzen 7 6800U / 24 GB RAM\)](https://www.reddit.com/r/LocalLLM/comments/1wpp6px/) — Reddit (r/LocalLLM) · Sep 25 · score 0 · 10 comments 5. [Strix Halo 128GB local LLM tuning: 96GB UMA made a \~100GB Qwen3 235B model go from timeout to 17 tok/s -\> scripts + benchmarks](https://www.reddit.com/r/LocalLLM/comments/1won03e/) — Reddit (r/LocalLLM) · Sep 24 · score 0 · 9 comments 6. [Visual Studio Code + Continue.dev](https://www.reddit.com/r/LocalLLM/comments/1wqf24g/) — Reddit (r/LocalLLM) · Sep 26 · score 1 · 4 comments 7. [Build an uncensored/abliterated Greek-native LLM for local use. Best candidate: ilsp/Llama-Krikri-8B-Instruct \(Llama 3.1 8B Greek fine-tune\). Plan: abliterate with Heretic \(heretic-llm\), convert to GGUF Q4\_K\_M, run on Vulkan](https://discuss.huggingface.co/t/build-an-uncensored-abliterated-greek-native-llm-for-local-use-best-candidate-ilsp-llama-krikri-8b-instruct-llama-3-1-8b-greek-fine-tune-plan-abliterate-with-heretic-heretic-llm-convert-to-gguf-q4-k-m-run-on-vulkan/180677) — Developer forums (Cursor, OpenAI, Hugging Face) (Hugging Face Forums) · Sep 22 · score 0 · 0 comments 8. [opencode v1.18.32 Fixed Bedrock image attachments so they are only hoisted for Claude, Nova, and Llama 4 models.; Fixed Together AI streaming usage reporting. https://whatsnew.fyi/product/opencode/re…](https://mastodon.social/@whatsnew_fyi/117311520103101033) — Mastodon (fediverse) (mastodon.social) · Sep 21 · score 0 · 0 comments 9. [My new quickstart is up on Microsoft Learn: how to create an Azure Kubernetes Service \(AKS\) cluster with a managed GPU node pool \(preview\) using Azure CLI. When you add the node pool with --enable-ma…](https://mastodon.social/@bbenz/117321567605204686) — Mastodon (fediverse) (mastodon.social) · Sep 23 · score 0 · 0 comments 10. [Meta-Llama-3-8B-Instruct access request pending for several weeks with no response from Meta](https://discuss.huggingface.co/t/meta-llama-3-8b-instruct-access-request-pending-for-several-weeks-with-no-response-from-meta/180757) — Developer forums (Cursor, OpenAI, Hugging Face) (Hugging Face Forums) · Sep 27 · score 0 · 0 comments 11. [Can One Adapted Model Do It All? Fine-Tuning Strategy Selection for Customer Support LLMs](https://arxiv.org/abs/2609.27262) — arXiv (cs.CL / cs.AI / cs.LG) (cs.CL) · Sep 23 12. [The KV Cache Is the New Memory Wall](https://arxiv.org/abs/2609.30854) — arXiv (cs.CL / cs.AI / cs.LG) (cs.DC) · Sep 25 ## Themes What its stories of the last 7 days are about: the 35 of them the Jev model kept as about the scene, by theme (a story can carry several themes): - [Models](https://abovethefog.app/themes/models.md) — 94% of its stories - [Agents](https://abovethefog.app/themes/agents.md) — 11% of its stories - [Security & safety](https://abovethefog.app/themes/security_safety.md) — 8.6% of its stories - [Protocols & infra](https://abovethefog.app/themes/protocols_infra.md) — 5.7% of its stories - [Usage & adoption](https://abovethefog.app/themes/usage_adoption.md) — 5.7% of its stories - Other tech — 2.9% of its stories ## Related topics - **Made by:** [Meta Superintelligence Labs](https://abovethefog.app/topics/meta_msl.md) - **Part of:** [Open-weight models](https://abovethefog.app/topics/open_weights.md) - **Related to:** [Muse Spark](https://abovethefog.app/topics/muse_spark.md), [Local inference](https://abovethefog.app/topics/local_inference.md) - **Mentioned with:** [Qwen](https://abovethefog.app/topics/qwen.md) (33 stories), [Gemma](https://abovethefog.app/topics/gemma.md) (16 stories), [Mistral AI](https://abovethefog.app/topics/mistral.md) (9 stories) ## Hype score, last 30 days | Day | Hype score | Stage | |---|---:|---| | Sep 27, 2026 | 0 | 💤 Quiet | | Sep 26, 2026 | 0 | 💤 Quiet | | Sep 25, 2026 | 0.7 | 💤 Quiet | | Sep 24, 2026 | 10.1 | 💤 Quiet | | Sep 23, 2026 | 4.4 | 💤 Quiet | | Sep 22, 2026 | 1.9 | 💤 Quiet | | Sep 21, 2026 | 3.5 | 💤 Quiet | | Sep 20, 2026 | 1.3 | 💤 Quiet | | Sep 19, 2026 | 2 | 💤 Quiet | | Sep 18, 2026 | 0 | 💤 Quiet | | Sep 17, 2026 | 4.1 | 💤 Quiet | | Sep 16, 2026 | 13.3 | 💤 Quiet | | Sep 15, 2026 | 3 | 💤 Quiet | | Sep 14, 2026 | 4.2 | 💤 Quiet | | Sep 13, 2026 | 0 | 💤 Quiet | | Sep 12, 2026 | 0 | 💤 Quiet | | Sep 11, 2026 | 0.7 | 💤 Quiet | | Sep 10, 2026 | 1.8 | 💤 Quiet | | Sep 9, 2026 | 1.2 | 💤 Quiet | | Sep 8, 2026 | 10.6 | 💤 Quiet | | Sep 7, 2026 | 0.5 | 💤 Quiet | | Sep 6, 2026 | 0 | 💤 Quiet | | Sep 5, 2026 | 0.3 | 💤 Quiet | | Sep 4, 2026 | 1.2 | 💤 Quiet | | Sep 3, 2026 | 1.4 | 💤 Quiet | | Sep 2, 2026 | 1.8 | 💤 Quiet | | Sep 1, 2026 | 1.5 | 💤 Quiet | | Aug 31, 2026 | 2.2 | 💤 Quiet | | Aug 30, 2026 | 0.8 | 💤 Quiet | | Aug 29, 2026 | 2.3 | 💤 Quiet | [Open Llama in the interactive map →](https://abovethefog.app/#topic=llama) --- Updated Sep 28, 2026, 22:02 UTC · Data: Above the Fog hype radar [HTML page](https://abovethefog.app/topics/llama) · [llms.txt](https://abovethefog.app/llms.txt) · [About & methodology](https://abovethefog.app/about.md) · [Privacy](https://abovethefog.app/about.md#privacy)