From 629f7c424d6cfb02fae51fc7528e864275cea355 Mon Sep 17 00:00:00 2001 From: Hyperling Date: Fri, 16 Oct 2026 09:34:08 -0700 Subject: [PATCH] llm, add the actual context values rather than rounding down. --- tasks/workstation/linux/software/llm.yml | 36 ++++++++++++------------ 1 file changed, 18 insertions(+), 18 deletions(-) diff --git a/tasks/workstation/linux/software/llm.yml b/tasks/workstation/linux/software/llm.yml index dd11abd..b938fb4 100644 --- a/tasks/workstation/linux/software/llm.yml +++ b/tasks/workstation/linux/software/llm.yml @@ -136,32 +136,32 @@ - { "purpose": ["code", "chat", "lang"], "model": "qwen3.6:27b", "provider": "qwen_36_0270", "size_mb": "{{ llm_size_coef * 18000 }}", "context": 262144 } # https://ollama.com/library/qwen3.5 : Last Updated 2026-10-13 (yesterday as of this commit!!) ### QWEN 3.5 - Good for generic usage and a little coding. - - { "purpose": ["chat"], "model": "qwen3.5:0.8b", "provider": "qwen_35_0008", "size_mb": "{{ llm_size_coef * 1200 }}", "context": 256000 } - - { "purpose": ["chat"], "model": "qwen3.5:2b", "provider": "qwen_35_0020", "size_mb": "{{ llm_size_coef * 2700 }}", "context": 256000 } - - { "purpose": ["chat"], "model": "qwen3.5:4b", "provider": "qwen_35_0040", "size_mb": "{{ llm_size_coef * 3300 }}", "context": 256000 } - - { "purpose": ["chat"], "model": "qwen3.5:9b", "provider": "qwen_35_0090", "size_mb": "{{ llm_size_coef * 6600 }}", "context": 256000 } - - { "purpose": ["chat", "code"], "model": "qwen3.5:27b", "provider": "qwen_35_0270", "size_mb": "{{ llm_size_coef * 17000 }}", "context": 256000 } # succeeded - - { "purpose": ["chat", "code"], "model": "qwen3.5:35b", "provider": "qwen_35_0350_moe", "size_mb": "{{ llm_size_coef * 22000 }}", "context": 256000 } - - { "purpose": ["chat", "code"], "model": "qwen3.5:122b", "provider": "qwen_35_1220_moe", "size_mb": "{{ llm_size_coef * 81000 }}", "context": 256000 } + - { "purpose": ["chat"], "model": "qwen3.5:0.8b", "provider": "qwen_35_0008", "size_mb": "{{ llm_size_coef * 1200 }}", "context": 262144 } + - { "purpose": ["chat"], "model": "qwen3.5:2b", "provider": "qwen_35_0020", "size_mb": "{{ llm_size_coef * 2700 }}", "context": 262144 } + - { "purpose": ["chat"], "model": "qwen3.5:4b", "provider": "qwen_35_0040", "size_mb": "{{ llm_size_coef * 3300 }}", "context": 262144 } + - { "purpose": ["chat"], "model": "qwen3.5:9b", "provider": "qwen_35_0090", "size_mb": "{{ llm_size_coef * 6600 }}", "context": 262144 } + - { "purpose": ["chat", "code"], "model": "qwen3.5:27b", "provider": "qwen_35_0270", "size_mb": "{{ llm_size_coef * 17000 }}", "context": 262144 } # succeeded + - { "purpose": ["chat", "code"], "model": "qwen3.5:35b", "provider": "qwen_35_0350_moe", "size_mb": "{{ llm_size_coef * 22000 }}", "context": 262144 } + - { "purpose": ["chat", "code"], "model": "qwen3.5:122b", "provider": "qwen_35_1220_moe", "size_mb": "{{ llm_size_coef * 81000 }}", "context": 262144 } ### QWEN 3.0 Coder - Supposed to be better than 2.5 for machines that can handle it. - - { "purpose": ["code", "chat"], "model": "qwen3-coder:30b", "provider": "qwen_30_coder_0300_moe", "size_mb": "{{ llm_size_coef * 19000 }}", "context": 123456 } - - { "purpose": ["code", "chat"], "model": "qwen3-coder:420b", "provider": "qwen_30_coder_4200_moe", "size_mb": "{{ llm_size_coef * 290000 }}", "context": 123456 } + - { "purpose": ["code", "chat"], "model": "qwen3-coder:30b", "provider": "qwen_30_coder_0300_moe", "size_mb": "{{ llm_size_coef * 19000 }}", "context": 262144 } + - { "purpose": ["code", "chat"], "model": "qwen3-coder:420b", "provider": "qwen_30_coder_4200_moe", "size_mb": "{{ llm_size_coef * 290000 }}", "context": 262144 } ### QWEN 2.5 Coder - Ol'reliable! - - { "purpose": ["code"], "model": "qwen2.5-coder:0.5b", "provider": "qwen_25_coder_0005", "size_mb": "{{ llm_size_coef * 398 }}", "context": 32000 } - - { "purpose": ["code"], "model": "qwen2.5-coder:1.5b", "provider": "qwen_25_coder_0015", "size_mb": "{{ llm_size_coef * 986 }}", "context": 32000 } - - { "purpose": ["code"], "model": "qwen2.5-coder:3b", "provider": "qwen_25_coder_0030", "size_mb": "{{ llm_size_coef * 1900 }}", "context": 32000 } - - { "purpose": ["code"], "model": "qwen2.5-coder:7b", "provider": "qwen_25_coder_0070", "size_mb": "{{ llm_size_coef * 4700 }}", "context": 32000 } - - { "purpose": ["code"], "model": "qwen2.5-coder:14b", "provider": "qwen_25_coder_0140", "size_mb": "{{ llm_size_coef * 9000 }}", "context": 32000 } - - { "purpose": ["code"], "model": "qwen2.5-coder:32b", "provider": "qwen_25_coder_0320", "size_mb": "{{ llm_size_coef * 20000 }}", "context": 32000 } + - { "purpose": ["code"], "model": "qwen2.5-coder:0.5b", "provider": "qwen_25_coder_0005", "size_mb": "{{ llm_size_coef * 398 }}", "context": 32768 } + - { "purpose": ["code"], "model": "qwen2.5-coder:1.5b", "provider": "qwen_25_coder_0015", "size_mb": "{{ llm_size_coef * 986 }}", "context": 32768 } + - { "purpose": ["code"], "model": "qwen2.5-coder:3b", "provider": "qwen_25_coder_0030", "size_mb": "{{ llm_size_coef * 1900 }}", "context": 32768 } + - { "purpose": ["code"], "model": "qwen2.5-coder:7b", "provider": "qwen_25_coder_0070", "size_mb": "{{ llm_size_coef * 4700 }}", "context": 32768 } + - { "purpose": ["code"], "model": "qwen2.5-coder:14b", "provider": "qwen_25_coder_0140", "size_mb": "{{ llm_size_coef * 9000 }}", "context": 32768 } + - { "purpose": ["code"], "model": "qwen2.5-coder:32b", "provider": "qwen_25_coder_0320", "size_mb": "{{ llm_size_coef * 20000 }}", "context": 32768 } ##### Mistral, Ministral, and Devstral - By a French company? ##### # https://ollama.com/library/devstral-small-2 : Last Updated 2025-12-13 # Most recommended in Mistral family for agentic coding. - - { "purpose": ["code"], "model": "devstral-small-2:24b", "provider": "mistral_dev20_0240_small", "size_mb": "{{ llm_size_coef * 15000 }}", "context": 384000 } + - { "purpose": ["code"], "model": "devstral-small-2:24b", "provider": "mistral_dev20_0240_small", "size_mb": "{{ llm_size_coef * 15000 }}", "context": 393216 } # https://ollama.com/library/codestral : Last Updated 2024-09-03 # Mistral's first ever coder agent, recommended for autocomplete (FIM). - - { "purpose": ["code"], "model": "codestral:22b", "provider": "mistral_code_0220", "size_mb": "{{ llm_size_coef * 12000 }}", "context": 32000 } + - { "purpose": ["code"], "model": "codestral:22b", "provider": "mistral_code_0220", "size_mb": "{{ llm_size_coef * 12000 }}", "context": 32768 } # https://ollama.com/library/mistral : Last Updated 2025-07-13 - - { "purpose": ["chat"], "model": "mistral:7b", "provider": "mistral_gen_0070", "size_mb": "{{ llm_size_coef * 4400 }}", "context": 32000 } + - { "purpose": ["chat"], "model": "mistral:7b", "provider": "mistral_gen_0070", "size_mb": "{{ llm_size_coef * 4400 }}", "context": 32768 } # https://ollama.com/library/mistral-small3.2 : Last Updated 2025-06-20 - { "purpose": ["chat", "lang"], "model": "mistral-small3.2:24b", "provider": "mistral_small32_0240", "size_mb": "{{ llm_size_coef * 15000 }}", "context": 128000 } # rated best for Croatian # https://ollama.com/library/ministral-3 : Last Updated 2025-12-13