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docs: updated supported models
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Signed-off-by: Neko Ayaka <[email protected]>
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nekomeowww committed Apr 25, 2024
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*.swp
*.swo
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.obsidian/

# Node.js related
.eslintcache
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42 changes: 25 additions & 17 deletions README.md
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Expand Up @@ -146,23 +146,31 @@ Unlock the abilities to run the following models with the Ollama Operator over K
> [!TIP]
> By the power of [`Modelfile`](https://github.com/ollama/ollama/blob/main/docs/modelfile.md) backed by Ollama, you can create and bundle any of your own model. **As long as it's a GGUF formatted model.**
| Model | Parameters | Size | Model image | Full model image URL |
| ----------------------- | ---------- | ----- | ------------------- | ---------------------------------------------- |
| Llama 2 | 7B | 3.8GB | `llama2` | `registry.ollama.ai/library/llama2` |
| Mistral | 7B | 4.1GB | `mistral` | `registry.ollama.ai/library/mistral` |
| Dolphin Phi | 2.7B | 1.6GB | `dolphin-phi` | `registry.ollama.ai/library/dolphin-phi` |
| Phi-2 | 2.7B | 1.7GB | `phi` | `registry.ollama.ai/library/phi` |
| Neural Chat | 7B | 4.1GB | `neural-chat` | `registry.ollama.ai/library/neural-chat` |
| Starling | 7B | 4.1GB | `starling-lm` | `registry.ollama.ai/library/starling-lm` |
| Code Llama | 7B | 3.8GB | `codellama` | `registry.ollama.ai/library/codellama` |
| Llama 2 Uncensored | 7B | 3.8GB | `llama2-uncensored` | `registry.ollama.ai/library/llama2-uncensored` |
| Llama 2 13B | 13B | 7.3GB | `llama2:13b` | `registry.ollama.ai/library/llama2:13b` |
| Llama 2 70B | 70B | 39GB | `llama2:70b` | `registry.ollama.ai/library/llama2:70b` |
| Orca Mini | 3B | 1.9GB | `orca-mini` | `registry.ollama.ai/library/orca-mini` |
| Vicuna | 7B | 3.8GB | `vicuna` | `registry.ollama.ai/library/vicuna` |
| LLaVA | 7B | 4.5GB | `llava` | `registry.ollama.ai/library/llava` |
| Gemma | 2B | 1.4GB | `gemma:2b` | `registry.ollama.ai/library/gemma:2b` |
| Gemma | 7B | 4.8GB | `gemma:7b` | `registry.ollama.ai/library/gemma:7b` |
| Model | Parameters | Size | Model image | Full model image URL | Multi-modal | Uncensored |
| ------------------------------------------------------------------ | ---------- | ----- | ------------------- | ---------------------------------------------- | ----------- | ---------- |
| [Phi-3 Mini](https://ollama.com/library/phi3) | 3.8B | 2.3GB | `phi3` | `registry.ollama.ai/library/phi3` | | |
| [Llama 3](https://ollama.com/library/llama3) | 8B | 4.7GB | `llama3` | `registry.ollama.ai/library/llama3` | | |
| [Dolphin Llama 3](https://ollama.com/library/dolphin-llama3) | 8B | 4.7GB | `dolphin-llama3` | `registry.ollama.ai/dolphin-llama3` | | ✅ |
| [WizardLM-2](https://ollama.com/library/wizardlm2) | 7B | 4.1GB | `wizardlm2` | `registry.ollama.ai/library/wizardlm2` | | |
| [Llama 2](https://ollama.com/library/llama2) | 7B | 3.8GB | `llama2` | `registry.ollama.ai/library/llama2` | | |
| [Mistral](https://ollama.com/library/mistral) | 7B | 4.1GB | `mistral` | `registry.ollama.ai/library/mistral` | | |
| [Mixtral 8x7B](https://ollama.com/library/mixtral:8x7b) | 8x7B | 26GB | `mixtral:8x7b` | `registry.ollama.ai/library/mixtral:8x7b` | | |
| [Mixtral 8x22B](https://ollama.com/library/mixtral:8x22b) | 8x22B | 80GB | `mixtral:8x22b` | `registry.ollama.ai/library/mixtral:8x22b` | | |
| [Command R](https://ollama.com/library/command-r) | 35B | 20GB | `command-r` | `registry.ollama.ai/library/command-r` | | |
| [Command R Plus](https://ollama.com/library/command-r-plus) | 104B | 59GB | `command-r-plus` | `registry.ollama.ai/library/command-r-plus` | | |
| [Dolphin Phi](https://ollama.com/library/dolphin-phi) | 2.7B | 1.6GB | `dolphin-phi` | `registry.ollama.ai/library/dolphin-phi` | | ✅ |
| [Phi-2](https://ollama.com/library/phi) | 2.7B | 1.7GB | `phi` | `registry.ollama.ai/library/phi` | | |
| [Neural Chat](https://ollama.com/library/neural-chat) | 7B | 4.1GB | `neural-chat` | `registry.ollama.ai/library/neural-chat` | | |
| [Starling](https://ollama.com/library/starling-lm) | 7B | 4.1GB | `starling-lm` | `registry.ollama.ai/library/starling-lm` | | |
| [Code Llama](https://ollama.com/library/codellama) | 7B | 3.8GB | `codellama` | `registry.ollama.ai/library/codellama` | | |
| [Llama 2 Uncensored](https://ollama.com/library/llama2-uncensored) | 7B | 3.8GB | `llama2-uncensored` | `registry.ollama.ai/library/llama2-uncensored` | | ✅ |
| [Llama 2 13B](https://ollama.com/library/llama2) | 13B | 7.3GB | `llama2:13b` | `registry.ollama.ai/library/llama2:13b` | | |
| [Llama 2 70B](https://ollama.com/library/llama2) | 70B | 39GB | `llama2:70b` | `registry.ollama.ai/library/llama2:70b` | | |
| Orca Mini | 3B | 1.9GB | `orca-mini` | `registry.ollama.ai/library/orca-mini` | | |
| Vicuna | 7B | 3.8GB | `vicuna` | `registry.ollama.ai/library/vicuna` | | |
| LLaVA | 7B | 4.5GB | `llava` | `registry.ollama.ai/library/llava` | ✅ | |
| Gemma 2B | 2B | 1.4GB | `gemma:2b` | `registry.ollama.ai/library/gemma:2b` | | |
| Gemma 7B | 7B | 4.8GB | `gemma:7b` | `registry.ollama.ai/library/gemma:7b` | | |
Full list of available images can be found at [Ollama Library](https://ollama.com/library).
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42 changes: 25 additions & 17 deletions docs/pages/en/guide/supported-models.md
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Expand Up @@ -6,22 +6,30 @@ You can use them directly by specifying the model image in the `Model` CRD.
> [!TIP] Not just these
> By the power of [`Modelfile`](https://github.com/ollama/ollama/blob/main/docs/modelfile.md) backed by Ollama, you can create and bundle any of your own model. **As long as it's a GGUF formatted model.**
| Model | Parameters | Size | Model image | Full model image URL |
| ----------------------- | ---------- | ----- | ------------------- | ---------------------------------------------- |
| Llama 2 | 7B | 3.8GB | `llama2` | `registry.ollama.ai/library/llama2` |
| Mistral | 7B | 4.1GB | `mistral` | `registry.ollama.ai/library/mistral` |
| Dolphin Phi | 2.7B | 1.6GB | `dolphin-phi` | `registry.ollama.ai/library/dolphin-phi` |
| Phi-2 | 2.7B | 1.7GB | `phi` | `registry.ollama.ai/library/phi` |
| Neural Chat | 7B | 4.1GB | `neural-chat` | `registry.ollama.ai/library/neural-chat` |
| Starling | 7B | 4.1GB | `starling-lm` | `registry.ollama.ai/library/starling-lm` |
| Code Llama | 7B | 3.8GB | `codellama` | `registry.ollama.ai/library/codellama` |
| Llama 2 Uncensored | 7B | 3.8GB | `llama2-uncensored` | `registry.ollama.ai/library/llama2-uncensored` |
| Llama 2 13B | 13B | 7.3GB | `llama2:13b` | `registry.ollama.ai/library/llama2:13b` |
| Llama 2 70B | 70B | 39GB | `llama2:70b` | `registry.ollama.ai/library/llama2:70b` |
| Orca Mini | 3B | 1.9GB | `orca-mini` | `registry.ollama.ai/library/orca-mini` |
| Vicuna | 7B | 3.8GB | `vicuna` | `registry.ollama.ai/library/vicuna` |
| LLaVA | 7B | 4.5GB | `llava` | `registry.ollama.ai/library/llava` |
| Gemma | 2B | 1.4GB | `gemma:2b` | `registry.ollama.ai/library/gemma:2b` |
| Gemma | 7B | 4.8GB | `gemma:7b` | `registry.ollama.ai/library/gemma:7b` |
| Model | Parameters | Size | Model image | Full model image URL | Multi-modal | Uncensored |
| ------------------------------------------------------------------ | ---------- | ----- | ------------------- | ---------------------------------------------- | ----------- | ---------- |
| [Phi-3 Mini](https://ollama.com/library/phi3) | 3.8B | 2.3GB | `phi3` | `registry.ollama.ai/library/phi3` | | |
| [Llama 3](https://ollama.com/library/llama3) | 8B | 4.7GB | `llama3` | `registry.ollama.ai/library/llama3` | | |
| [Dolphin Llama 3](https://ollama.com/library/dolphin-llama3) | 8B | 4.7GB | `dolphin-llama3` | `registry.ollama.ai/dolphin-llama3` | | ✅ |
| [WizardLM-2](https://ollama.com/library/wizardlm2) | 7B | 4.1GB | `wizardlm2` | `registry.ollama.ai/library/wizardlm2` | | |
| [Llama 2](https://ollama.com/library/llama2) | 7B | 3.8GB | `llama2` | `registry.ollama.ai/library/llama2` | | |
| [Mistral](https://ollama.com/library/mistral) | 7B | 4.1GB | `mistral` | `registry.ollama.ai/library/mistral` | | |
| [Mixtral 8x7B](https://ollama.com/library/mixtral:8x7b) | 8x7B | 26GB | `mixtral:8x7b` | `registry.ollama.ai/library/mixtral:8x7b` | | |
| [Mixtral 8x22B](https://ollama.com/library/mixtral:8x22b) | 8x22B | 80GB | `mixtral:8x22b` | `registry.ollama.ai/library/mixtral:8x22b` | | |
| [Command R](https://ollama.com/library/command-r) | 35B | 20GB | `command-r` | `registry.ollama.ai/library/command-r` | | |
| [Command R Plus](https://ollama.com/library/command-r-plus) | 104B | 59GB | `command-r-plus` | `registry.ollama.ai/library/command-r-plus` | | |
| [Dolphin Phi](https://ollama.com/library/dolphin-phi) | 2.7B | 1.6GB | `dolphin-phi` | `registry.ollama.ai/library/dolphin-phi` | | ✅ |
| [Phi-2](https://ollama.com/library/phi) | 2.7B | 1.7GB | `phi` | `registry.ollama.ai/library/phi` | | |
| [Neural Chat](https://ollama.com/library/neural-chat) | 7B | 4.1GB | `neural-chat` | `registry.ollama.ai/library/neural-chat` | | |
| [Starling](https://ollama.com/library/starling-lm) | 7B | 4.1GB | `starling-lm` | `registry.ollama.ai/library/starling-lm` | | |
| [Code Llama](https://ollama.com/library/codellama) | 7B | 3.8GB | `codellama` | `registry.ollama.ai/library/codellama` | | |
| [Llama 2 Uncensored](https://ollama.com/library/llama2-uncensored) | 7B | 3.8GB | `llama2-uncensored` | `registry.ollama.ai/library/llama2-uncensored` | | ✅ |
| [Llama 2 13B](https://ollama.com/library/llama2) | 13B | 7.3GB | `llama2:13b` | `registry.ollama.ai/library/llama2:13b` | | |
| [Llama 2 70B](https://ollama.com/library/llama2) | 70B | 39GB | `llama2:70b` | `registry.ollama.ai/library/llama2:70b` | | |
| Orca Mini | 3B | 1.9GB | `orca-mini` | `registry.ollama.ai/library/orca-mini` | | |
| Vicuna | 7B | 3.8GB | `vicuna` | `registry.ollama.ai/library/vicuna` | | |
| LLaVA | 7B | 4.5GB | `llava` | `registry.ollama.ai/library/llava` | ✅ | |
| Gemma 2B | 2B | 1.4GB | `gemma:2b` | `registry.ollama.ai/library/gemma:2b` | | |
| Gemma 7B | 7B | 4.8GB | `gemma:7b` | `registry.ollama.ai/library/gemma:7b` | | |

Full list of available images can be found at [Ollama Library](https://ollama.com/library).
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