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.gitattributes CHANGED
@@ -33,3 +33,11 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zst filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
 
 
 
 
 
 
 
 
 
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zst filter=lfs diff=lfs merge=lfs -text
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+ llama4-scout-instruct-q4k-0.uqff filter=lfs diff=lfs merge=lfs -text
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+ llama4-scout-instruct-q4k-1.uqff filter=lfs diff=lfs merge=lfs -text
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+ llama4-scout-instruct-q4k-2.uqff filter=lfs diff=lfs merge=lfs -text
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+ llama4-scout-instruct-q4k-3.uqff filter=lfs diff=lfs merge=lfs -text
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+ llama4-scout-instruct-q4k-4.uqff filter=lfs diff=lfs merge=lfs -text
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+ llama4-scout-instruct-q4k-5.uqff filter=lfs diff=lfs merge=lfs -text
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+ llama4-scout-instruct-q4k-6.uqff filter=lfs diff=lfs merge=lfs -text
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+ tokenizer.json filter=lfs diff=lfs merge=lfs -text
README.md CHANGED
@@ -1,3 +1,28 @@
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- ---
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- license: mit
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ tags:
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+ - uqff
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+ - mistral.rs
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+ base_model: meta-llama/Llama-4-Scout-17B-16E-Instruct
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+ base_model_relation: quantized
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+ ---
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+
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+ <!-- Autogenerated from user input. -->
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+
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+ # `meta-llama/Llama-4-Scout-17B-16E-Instruct`, UQFF quantization
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+
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+
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+ Run with [mistral.rs](https://github.com/EricLBuehler/mistral.rs). Documentation: [UQFF docs](https://github.com/EricLBuehler/mistral.rs/blob/master/docs/UQFF.md).
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+
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+ 1) **Flexible** 🌀: Multiple quantization formats in *one* file format with *one* framework to run them all.
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+ 2) **Reliable** 🔒: Compatibility ensured with *embedded* and *checked* semantic versioning information from day 1.
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+ 3) **Easy** 🤗: Download UQFF models *easily* and *quickly* from Hugging Face, or use a local file.
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+ 3) **Customizable** 🛠️: Make and publish your own UQFF files in minutes.
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+
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+ ## Examples
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+
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+ Note: If you are using an Apple Silicon device (on Metal), prefer using an 🔥 AFQ quantization for optimum performance!
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+
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+ |Quantization type(s)|Example|
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+ |--|--|
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+ |Q4K|`./mistralrs-server -i vision-plain -m EricB/Llama-4-Scout-17B-16E-Instruct-UQFF -a llama4 --from-uqff "llama4-scout-instruct-q4k-0.uqff;llama4-scout-instruct-q4k-1.uqff;llama4-scout-instruct-q4k-2.uqff;llama4-scout-instruct-q4k-3.uqff;llama4-scout-instruct-q4k-4.uqff;llama4-scout-instruct-q4k-5.uqff;llama4-scout-instruct-q4k-6.uqff"`|
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+ |AFQ4 |Coming soon!|
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+ {
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+ "architectures": [
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+ ],
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+ "model_type": "llama4",
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+ "text_config": {
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+ "_attn_implementation_autoset": true,
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+ "attention_bias": false,
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+ "attention_chunk_size": 8192,
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+ "bos_token_id": 200000,
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+ "hidden_size": 5120,
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+ "interleave_moe_layer_step": 1,
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+ "intermediate_size": 8192,
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+ "max_position_embeddings": 10485760,
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+ "model_type": "llama4_text",
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+ "no_rope_layers": [],
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+ "num_attention_heads": 40,
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+ "num_experts_per_tok": 1,
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+ "num_hidden_layers": 48,
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+ "num_key_value_heads": 8,
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+ "output_router_logits": false,
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+ "pad_token_id": 200018,
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+ "rms_norm_eps": 1e-05,
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+ "rope_scaling": {
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+ "low_freq_factor": 1.0,
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+ "original_max_position_embeddings": 8192,
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+ "rope_type": "llama3"
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+ },
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+ "rope_theta": 500000.0,
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+ "router_aux_loss_coef": 0.001,
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+ "router_jitter_noise": 0.0,
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+ "torch_dtype": "bfloat16",
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+ "use_cache": true,
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+ "vocab_size": 202048
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+ },
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+ "torch_dtype": "bfloat16",
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+ "transformers_version": "4.51.0.dev0",
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+ "vision_config": {
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+ "multi_modal_projector_bias": false,
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+ "norm_eps": 1e-05,
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+ "num_channels": 3,
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+ "vision_feature_layer": -1,
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+ "vision_feature_select_strategy": "default",
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+ "vision_output_dim": 4096
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+ }
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+ }
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