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fix: add support for "llama3.2" & "phi3.5" vision models
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commit
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3 changed files with 24 additions and 12 deletions
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@ -112,12 +112,14 @@ Open-Source models can be used locally via [Ollama](https://ollama.com/) or [Loc
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| Label | Tokens | Vision | Notes |
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| ----------------- | :----: | :----: | ---------------------------------------------------------------------------- |
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| `llama3.3` | 128 k | | Meta's new 70B model with similar performance to the Llama 3.1 405B model. |
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| `llama3.2-vision` | 128 k | ✅ | Meta's image reasoning generative models in both 11B and 90B model sizes. |
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| `llama3.2` | 128 k | | Meta's new 1B and 3B models optimized for multilingual dialogue use cases. |
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| `llama3.1` | 128 k | | Meta's 8B, 70B and 405B models with overall stronger reasoning capabilities. |
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| `phi4` | 16 k | | Microsoft's new Phi 4 "Medium" (14B) open model with a 16k context window. |
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| `phi3.5-vision` | 128 k | ✅ | Microsoft's Phi 3 and 3.5 "Mini" (3.8B) models with vision capabilities. |
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| `phi3.5` / `phi3` | 128 k | | Microsoft's new Phi 3.5 "Mini" (3.8B) and Phi 3 "Medium" (14B) open models. |
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| `qwen2.5` | 128 k | | Alibaba Cloud's Qwen multilingual Chinese models ranging from 0.5B to 72B. |
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| `gemma2` | 128 k | | Google's Gemma 2B, 9B and 27B models featuring a brand new architecture. |
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| `qwen2.5` | 32 k | | Alibaba Cloud's Qwen multilingual Chinese models ranging from 0.5B to 72B. |
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| `gemma2` | 8 k | | Google's Gemma 2B, 9B and 27B models featuring a brand new architecture. |
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| `llava` | 4 k | ✅ | Family of Large Language-and-Vision Assistant models between 7B and 34B. |
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## Future Development
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@ -258,6 +258,8 @@ export class GladdisWelcomeModal extends Modal {
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dropdown
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.addOptions({
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'llama3.3:70b': 'Llama 3.3 70B (43 Go)',
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'llama3.2-vision:11b': 'Llama 3 V 11B (8 Go)',
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'llama3.2-vision:90b': 'Llama 3 V 90B (55 Go)',
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'llama3.2:1b': 'Llama 3.2 1B (1 Go)',
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'llama3.2:3b': 'Llama 3.2 3B (2 Go)',
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'llama3.1:8b': 'Llama 3.1 8B (5 Go)',
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@ -278,6 +280,8 @@ export class GladdisWelcomeModal extends Modal {
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'llava:7b': 'Llava 1.6 7B (5 Go)',
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'llava:13b': 'Llava 1.6 13B (8 Go)',
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'llava:34b': 'Llava 1.6 34B (20 Go)',
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'llava-phi3:3.8b': 'Llava Phi 3.8B (3 Go)',
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'llava-llama3:8b': 'Llava Llama 8B (5 Go)',
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})
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.setValue(this.config.default_model['Ollama'])
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.onChange((value) => (this.config.default_model['Ollama'] = value))
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@ -334,7 +338,10 @@ export class GladdisWelcomeModal extends Modal {
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'meta-llama-3.1-8b-instruct': 'Llama 3.1 8B (5 Go)',
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'meta-llama-3.1-70b-instruct': 'Llama 3.1 70B (43 Go)',
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'phi-4': 'Phi 4 "Medium" (9 Go)',
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'phi-3.5-vision:vllm': 'Phi 3.5 "Vision" (2 Go)',
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'phi-3.5-mini-instruct': 'Phi 3.5 "Mini" (2 Go)',
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'phi-3.5-moe-instruct': 'Phi 3.5 "MoE" (24 Go)',
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'phi-3-vision:vllm': 'Phi 3 "Vision" (2 Go)',
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'phi-3-medium-4k-instruct': 'Phi 3 "Medium" (8 Go)',
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'qwen2.5-0.5b-instruct': 'Qwen 2.5 0.5B (0.5 Go)',
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'qwen2.5-1.5b-instruct': 'Qwen 2.5 1.5B (1 Go)',
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@ -346,6 +353,7 @@ export class GladdisWelcomeModal extends Modal {
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'gemma-2-27b-it': 'Gemma 2 27B (16 Go)',
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'llava-1.6-vicuna': 'Llava "Vicuna" (5 Go)',
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'llava-1.6-mistral': 'Llava "Mistral" (5 Go)',
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'llava-llama-3-8b-v1_1': 'Llava "Llama 3" (5 Go)',
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})
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.setValue(this.config.default_model['LocalAI'])
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.onChange((value) => (this.config.default_model['LocalAI'] = value))
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@ -42,6 +42,11 @@ export const modelCatalog: ModelDetails[] = [
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label: 'gpt-3.5-turbo',
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limit: 16_385,
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},
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{
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label: 'llama-?3.?.?-vision',
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limit: 128_000,
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vision: true,
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},
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{
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label: '(meta-)?llama-?3',
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limit: 128_000,
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@ -52,7 +57,12 @@ export const modelCatalog: ModelDetails[] = [
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},
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{
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label: 'phi-?4',
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limit: 16_000,
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limit: 16_384,
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},
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{
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label: 'phi-?3.?.?-vision',
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limit: 128_000,
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vision: true,
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},
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{
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label: 'phi-?3',
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@ -62,17 +72,9 @@ export const modelCatalog: ModelDetails[] = [
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label: 'phi',
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limit: 2_048,
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},
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{
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label: 'qwen2',
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limit: 128_000,
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},
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{
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label: 'qwen',
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limit: 8_192,
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},
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{
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label: 'gemma-?2',
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limit: 128_000,
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limit: 32_768,
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},
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{
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label: 'gemma',
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