separate out flash-attn install (sadly)
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@@ -95,7 +95,7 @@ chat_template: llava
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### Mistral-Small-3.1 {#sec-mistral-small-31}
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::: {.callout-tip}
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Please make sure to install vision lib via `pip install 'mistral-common[opencv]==1.8.5'`
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Please make sure to install vision lib via `uv pip install 'mistral-common[opencv]==1.8.5'`
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:::
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```yaml
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@@ -105,7 +105,7 @@ base_model: mistralai/Mistral-Small-3.1-24B-Instruct-2503
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### Magistral-Small-2509 {#sec-magistral-small-2509}
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::: {.callout-tip}
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Please make sure to install vision lib via `pip install 'mistral-common[opencv]==1.8.5'`
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Please make sure to install vision lib via `uv pip install 'mistral-common[opencv]==1.8.5'`
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:::
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```yaml
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@@ -115,7 +115,7 @@ base_model: mistralai/Magistral-Small-2509
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### Voxtral {#sec-voxtral}
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::: {.callout-tip}
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Please make sure to install audio lib via `pip3 install librosa==0.11.0 'mistral_common[audio]==1.8.3'`
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Please make sure to install audio lib via `uv pip install librosa==0.11.0 'mistral_common[audio]==1.8.3'`
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:::
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```yaml
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@@ -143,7 +143,7 @@ The model's initial loss and grad norm will be very high. We suspect this to be
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:::
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::: {.callout-tip}
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Please make sure to install `timm` via `pip3 install timm==1.0.17`
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Please make sure to install `timm` via `uv pip install timm==1.0.17`
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:::
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```yaml
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@@ -171,7 +171,7 @@ chat_template: qwen2_vl # same as qwen2-vl
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### SmolVLM2 {#sec-smolvlm2}
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::: {.callout-tip}
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Please make sure to install `num2words` via `pip3 install num2words==0.5.14`
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Please make sure to install `num2words` via `uv pip install num2words==0.5.14`
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:::
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```yaml
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@@ -181,7 +181,7 @@ base_model: HuggingFaceTB/SmolVLM2-500M-Video-Instruct
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### LFM2-VL {#sec-lfm2-vl}
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::: {.callout-warning}
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Please uninstall `causal-conv1d` via `pip3 uninstall -y causal-conv1d`
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Please uninstall `causal-conv1d` via `uv pip uninstall -y causal-conv1d`
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:::
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```yaml
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@@ -222,7 +222,7 @@ For audio loading, you can use the following keys within `content` alongside `"t
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::: {.callout-tip}
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You may need to install `librosa` via `pip3 install librosa==0.11.0`.
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You may need to install `librosa` via `uv pip install librosa==0.11.0`.
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:::
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