From 0eca6a8638bef9f03677047485ffdea10f124811 Mon Sep 17 00:00:00 2001 From: Neko Ayaka Date: Thu, 25 Apr 2024 12:02:13 +0800 Subject: [PATCH] docs: updated supported models Signed-off-by: Neko Ayaka --- .gitignore | 1 + README.md | 42 +++++++++++++--------- docs/pages/en/guide/supported-models.md | 42 +++++++++++++--------- docs/pages/zh-CN/guide/supported-models.md | 42 +++++++++++++--------- 4 files changed, 76 insertions(+), 51 deletions(-) diff --git a/.gitignore b/.gitignore index 54d7480..d1dfed5 100644 --- a/.gitignore +++ b/.gitignore @@ -29,6 +29,7 @@ go.work *.swp *.swo *~ +.obsidian/ # Node.js related .eslintcache diff --git a/README.md b/README.md index 618e8b4..5d10f51 100644 --- a/README.md +++ b/README.md @@ -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). diff --git a/docs/pages/en/guide/supported-models.md b/docs/pages/en/guide/supported-models.md index ee76423..20aa704 100644 --- a/docs/pages/en/guide/supported-models.md +++ b/docs/pages/en/guide/supported-models.md @@ -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). diff --git a/docs/pages/zh-CN/guide/supported-models.md b/docs/pages/zh-CN/guide/supported-models.md index 9db192b..ab8eb5f 100644 --- a/docs/pages/zh-CN/guide/supported-models.md +++ b/docs/pages/zh-CN/guide/supported-models.md @@ -6,22 +6,30 @@ > [!TIP] 不止这些 > 借助由 Ollama 支持的 [`Modelfile`](https://github.com/ollama/ollama/blob/main/docs/modelfile.md)，您可以创建并打包任何自己喜欢的模型。**只要它是 GGUF 格式的模型**就可以无缝支持。 -| 模型名称 | 参数大小 | 实际大小 | 模型镜像 | 完整的模型镜像路径 | -| ----------------------- | ---------- | ----- | ------------------- | ---------------------------------------------- | -| 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` | +| 模型名称 | 参数大小 | 实际大小 | 模型镜像 | 完整的模型镜像路径 | 多模态 | 去审查 | +| ------------------------------------------------------------------ | ----- | ----- | ------------------- | ---------------------------------------------- | --- | --- | +| [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` | | | 可以在 [Ollama Library](https://ollama.com/library) 页面查看现在已经可以开箱即用的模型。