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| -rw-r--r-- | htroot/LLMSelection_p.html | 28 |
1 files changed, 14 insertions, 14 deletions
diff --git a/htroot/LLMSelection_p.html b/htroot/LLMSelection_p.html index c94e4e85b..baebcd342 100644 --- a/htroot/LLMSelection_p.html +++ b/htroot/LLMSelection_p.html @@ -61,20 +61,20 @@ let cachedVisionTestImagePromise = null; const RECOMMENDED_MODELS = [ - ["hf.co/tiiuae/Falcon-H1-0.5B-Instruct-GGUF:Q4_K_M", "0.50", "0.5GB", "english-only minimalistic model for small devices", "Technology Innovation Institute, Dubai", "falcon-llm-license"], - ["llama3.2:1b-instruct-q4_K_M", "0.10", "1.5GB", "A good 1B model", "Meta", "llama3.2"], - ["llama3.2:3b-instruct-q4_K_M", "0.66", "3GB", "A good 3B model", "Meta", "llama3.2"], - ["qwen3-vl:2b-instruct-q4_K_M", "0.73", "3GB", "A very small vision-model, can understand what is sees in images"], - ["qwen3:4b-instruct-2507-q4_K_M", "7.70", "3GB", "Exceptional good 4B model", "Alibaba", "apache-2.0"], - ["hf.co/mradermacher/Josiefied-Qwen3-4B-Instruct-2507-abliterated-v1-GGUF:Q4_K_M", "4.41", "3GB", "Uncensored version of qwen3:4b", "huggingface.co/Goekdeniz-Guelmez", "apache-2.0"], - ["hf.co/unsloth/medgemma-4b-it-GGUF:Q4_K_M", "0.60", "4GB", "Medical Knowledge and Vision", "Google", "health-ai-developer-foundations"], - ["olmo-3:7b-instruct-q4_K_M", "2.22", "4GB", "open and accessible training data, open-source training code", "allenai.org", "apache-2.0"], - ["hf.co/bartowski/AGI-0_Art-0-8B-GGUF:Q4_K_M", "11.9", "6GB", "Exceptional good 8B model, ranking above ChatGPT-3.5", "AGI-0.com and Alibaba", "apache-2.0"], - ["phi4:14b-q4_K_M", "5.24", "10GB", "Very strong, made with synthetic data", "Microsoft", "mit"], - ["hf.co/mistralai/Magistral-Small-2509-GGUF:Q4_K_M", "5.18", "16GB", "European flagship model, strong multilangual, reasoning", "mistral.ai", "apache-2.0"], - ["hf.co/bartowski/cognitivecomputations_Dolphin-Mistral-24B-Venice-Edition-GGUF:Q4_K_M", "3.43", "16GB", "Uncensored multilingual european Mistral-24B for role playing", "mistral.ai and dphn.ai", "apache-2.0"], - ["gemma3:27b-it-q4_K_M", "4.81", "20GB", "Strong content safety, multilingual support in over 140 languages", "google.com", "gemma"], - ["qwen3-vl:30b-a3b-instruct-q4_K_M", "17.33", "22GB", "Very fast, exceptional good 30B model, ranking above GPT-4-turbo, GPT-4.1-nano, GPT-o1, GPT-4o-mini", "Alibaba", "apache-2.0"] + //["hf.co/tiiuae/Falcon-H1-0.5B-Instruct-GGUF:Q4_K_M", " 0.50","0.5GB", "english-only minimalistic model for small devices", "Technology Innovation Institute, Dubai", "falcon-llm-license"], + //["llama3.2:1b-instruct-q4_K_M", " 0.10", "2GB", "A good 1B model", "Meta", "llama3.2"], + ["qwen2.5:1.5b-instruct-q4_K_M", " 0.88", "2GB", "Good small model for 1GB RAM", "Alibaba", "apache-2.0"], + ["llama3.2:3b-instruct-q4_K_M", " 0.66", "3GB", "A good 3B model", "Meta", "llama3.2"], + //["qwen3-vl:2b-instruct-q4_K_M", " 0.73", "3GB", "A very small vision-model, can understand what is sees in images"], + ["qwen3:4b-instruct-2507-q4_K_M", " 7.70", "3GB", "Exceptional good 4B model", "Alibaba", "apache-2.0"], + ["hf.co/unsloth/medgemma-4b-it-GGUF:Q4_K_M", " 0.60", "4GB", "Medical Knowledge and Vision", "Google", "health-ai-developer-foundations"], + ["olmo-3:7b-instruct-q4_K_M", " 2.22", "4GB", "open and accessible training data, open-source training code", "allenai.org", "apache-2.0"], + //["phi4:14b-q4_K_M", " 5.24", "10GB", "Strong, made with synthetic data", "Microsoft", "mit"], + ["hf.co/mradermacher/Ling-mini-2.0-GGUF:Q4_K_M", "20.00", "14GB", "very fast MoE model with 1.4B activated parameters per expert", "InclusionAI", "mit"], + //["magistral:24b-small-2506-q4_K_M", " 2.37", "16GB", "European flagship model, strong multilangual, reasoning", "mistral.ai", "apache-2.0"], + //["gemma3:27b-it-q4_K_M", " 4.81", "20GB", "Strong content safety, multilingual support in over 140 languages", "google.com", "gemma"], + //["qwen3-vl:30b-a3b-instruct-q4_K_M", "17.33", "22GB", "Very fast, exceptional good 30B model, ranking above GPT-4-turbo, GPT-4.1-nano, GPT-o1, GPT-4o-mini", "Alibaba", "apache-2.0"], + ["qwen3.5:35b-a3b-q4_K_M", "44.63", "25GB", "Very fast MoE, exceptional good 35B model with vision, ranking above GPT-4-turbo, GPT-4.1-nano, GPT-o1, GPT-4o-mini", "Alibaba", "apache-2.0"] ]; const MODEL_TABLE_HEADERS = ["Model", "Ranking", "Size", "Description", "Provider", "License", "Actions"]; |