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Diffstat (limited to 'README.md')
| -rw-r--r-- | README.md | 7 |
1 files changed, 4 insertions, 3 deletions
@@ -65,7 +65,8 @@ We also provide a some command line based examples using state of the art models - [Falcon](./candle-examples/examples/falcon/): general LLM. - [Phi-1, Phi-1.5, and Phi-2](./candle-examples/examples/phi/): 1.3b and 2.7b general LLMs with performance on par with LLaMA-v2 7b. - [StableLM-3B-4E1T](./candle-examples/examples/stable-lm/): a 3b general LLM - pre-trained on 1T tokens of English and code datasets. + pre-trained on 1T tokens of English and code datasets. Also supports + StableLM-2, a 1.6b LLM trained on 2T tokens, as well as the code variants. - [Minimal Mamba](./candle-examples/examples/mamba-minimal/): a minimal implementation of the Mamba state space model. - [Mistral7b-v0.1](./candle-examples/examples/mistral/): a 7b general LLM with @@ -187,7 +188,7 @@ If you have an addition to this list, please submit a pull request. - Minimal Mamba - Mistral 7b v0.1. - Mixtral 8x7b v0.1. - - StableLM-3B-4E1T. + - StableLM-3B-4E1T, StableLM-2-1.6B, Stable-Code-3B. - Replit-code-v1.5-3B. - Bert. - Yi-6B and Yi-34B. @@ -207,7 +208,7 @@ If you have an addition to this list, please submit a pull request. - Image to text. - BLIP. - Computer Vision Models. - - DINOv2, ConvMixer, EfficientNet, ResNet, ViT, VGG, RepVGG. + - DINOv2, ConvMixer, EfficientNet, ResNet, ViT, VGG, RepVGG, ConvNeXT. - yolo-v3, yolo-v8. - Segment-Anything Model (SAM). - File formats: load models from safetensors, npz, ggml, or PyTorch files. |