Upload mxfp4 MLX quantization

README.md

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+---
+license: apache-2.0
+base_model: SupraLabs/Supra-1.5-50M-Instruct-exp
+tags:
+  - mlx
+  - quantized
+  - apple-silicon
+---
+
+# supra-1.5-50m-instruct-exp-mxfp4-mlx
+
+MLX quantization of [SupraLabs/Supra-1.5-50M-Instruct-exp](https://huggingface.co/SupraLabs/Supra-1.5-50M-Instruct-exp) for Apple Silicon.
+
+**Variant**: Block float MX FP4  
+**Disk size**: 28 MB  
+**Quantized by**: [sahilchachra](https://huggingface.co/sahilchachra)
+
+## Benchmark results
+
+Evaluated on Apple M4 Pro with MLX. Model loaded once; performance and quality measured in a single pass.
+
+### Performance
+
+| | This model | FP16 baseline |
+|---|---:|---:|
+| Decode tok/s (avg, long traces) | 1675.62 | 1025.59 |
+| Peak memory (GB) | 0.126 | 0.223 |
+| Disk size (MB) | 28 | 101 |
+
+### Quality
+
+| Benchmark | This model | FP16 baseline | n |
+|---|---:|---:|---:|
+| IFEval (instruction following) | 20.5% | 15.9% | 44 |
+| Alpaca-cleaned (instruct F1 vs reference) | 36.8 | 40.9 | 50 |
+
+### Context scaling (decode tok/s)
+
+| Context length | Decode tok/s |
+|---:|---:|
+| ~128 tokens | 1675.2 |
+| ~256 tokens | 1685.8 |
+| ~512 tokens | 1655.6 |
+| ~1024 tokens | 1685.9 |
+
+## Usage
+
+```bash
+pip install mlx-lm
+```
+
+```python
+from mlx_lm import load, generate
+
+model, tokenizer = load("sahilchachra/supra-1.5-50m-instruct-exp-mxfp4-mlx")
+response = generate(model, tokenizer, prompt="Your prompt here", max_tokens=256, verbose=True)
+```
+
+## All variants in this collection
+
+| Model | Variant |
+|---|---|
+| [sahilchachra/supra-1.5-50m-instruct-exp-mxfp4-mlx](https://huggingface.co/sahilchachra/supra-1.5-50m-instruct-exp-mxfp4-mlx) | Block float MX FP4 ← this model |
+| [sahilchachra/supra-1.5-50m-instruct-exp-mxfp8-mlx](https://huggingface.co/sahilchachra/supra-1.5-50m-instruct-exp-mxfp8-mlx) | Block float MX FP8 |
+
+## Notes
+
+- Requires Apple Silicon (M1 or later) with MLX
+- Benchmarks run on Apple M4 Pro, 24 GB unified memory
+- License: see [SupraLabs/Supra-1.5-50M-Instruct-exp](https://huggingface.co/SupraLabs/Supra-1.5-50M-Instruct-exp) for the original model's license
+
+## Original model
+
+See [SupraLabs/Supra-1.5-50M-Instruct-exp](https://huggingface.co/SupraLabs/Supra-1.5-50M-Instruct-exp) for full model details and intended use.

config.json

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+{
+    "architectures": [
+        "LlamaForCausalLM"
+    ],
+    "attention_bias": false,
+    "attention_dropout": 0.0,
+    "bos_token_id": 0,
+    "dtype": "bfloat16",
+    "eos_token_id": 2,
+    "head_dim": 64,
+    "hidden_act": "silu",
+    "hidden_size": 512,
+    "initializer_range": 0.02,
+    "intermediate_size": 1408,
+    "max_position_embeddings": 5120,
+    "mlp_bias": false,
+    "model_type": "llama",
+    "num_attention_heads": 8,
+    "num_hidden_layers": 12,
+    "num_key_value_heads": 4,
+    "pad_token_id": 1,
+    "pretraining_tp": 1,
+    "quantization": {
+        "group_size": 32,
+        "bits": 4,
+        "mode": "mxfp4"
+    },
+    "quantization_config": {
+        "group_size": 32,
+        "bits": 4,
+        "mode": "mxfp4"
+    },
+    "rms_norm_eps": 1e-06,
+    "rope_parameters": {
+        "factor": 1.0,
+        "rope_theta": 10000.0,
+        "rope_type": "linear",
+        "type": "linear"
+    },
+    "tie_word_embeddings": true,
+    "transformers_version": "5.8.1",
+    "use_cache": false,
+    "vocab_size": 32000
+}

generation_config.json

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+{
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+  "bos_token_id": 0,
+  "eos_token_id": 2,
+  "pad_token_id": 1,
+  "transformers_version": "5.8.1"
+}

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