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README.md

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+---
+base_model: tiiuae/falcon-mamba-7b
+datasets:
+- tiiuae/falcon-refinedweb
+- HuggingFaceFW/fineweb-edu
+language:
+- en
+license: other
+license_name: falcon-mamba-7b-license
+license_link: https://falconllm.tii.ae/falcon-mamba-7b-terms-and-conditions.html
+tags:
+- mlx
+model-index:
+- name: falcon-mamba-7b
+  results:
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: IFEval (0-Shot)
+      type: HuggingFaceH4/ifeval
+      args:
+        num_few_shot: 0
+    metrics:
+    - type: inst_level_strict_acc and prompt_level_strict_acc
+      value: 33.36
+      name: strict accuracy
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=tiiuae/falcon-mamba-7b
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: BBH (3-Shot)
+      type: BBH
+      args:
+        num_few_shot: 3
+    metrics:
+    - type: acc_norm
+      value: 19.88
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=tiiuae/falcon-mamba-7b
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: MATH Lvl 5 (4-Shot)
+      type: hendrycks/competition_math
+      args:
+        num_few_shot: 4
+    metrics:
+    - type: exact_match
+      value: 3.63
+      name: exact match
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=tiiuae/falcon-mamba-7b
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: GPQA (0-shot)
+      type: Idavidrein/gpqa
+      args:
+        num_few_shot: 0
+    metrics:
+    - type: acc_norm
+      value: 8.05
+      name: acc_norm
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=tiiuae/falcon-mamba-7b
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: MuSR (0-shot)
+      type: TAUR-Lab/MuSR
+      args:
+        num_few_shot: 0
+    metrics:
+    - type: acc_norm
+      value: 10.86
+      name: acc_norm
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=tiiuae/falcon-mamba-7b
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: MMLU-PRO (5-shot)
+      type: TIGER-Lab/MMLU-Pro
+      config: main
+      split: test
+      args:
+        num_few_shot: 5
+    metrics:
+    - type: acc
+      value: 14.47
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=tiiuae/falcon-mamba-7b
+      name: Open LLM Leaderboard
+---
+
+# mlx-community/falcon-mamba-7b-8bit
+
+The Model [mlx-community/falcon-mamba-7b-8bit](https://huggingface.co/mlx-community/falcon-mamba-7b-8bit) was converted to MLX format from [tiiuae/falcon-mamba-7b](https://huggingface.co/tiiuae/falcon-mamba-7b) using mlx-lm version **0.19.2**.
+
+## Use with mlx
+
+```bash
+pip install mlx-lm
+```
+
+```python
+from mlx_lm import load, generate
+
+model, tokenizer = load("mlx-community/falcon-mamba-7b-8bit")
+
+prompt="hello"
+
+if hasattr(tokenizer, "apply_chat_template") and tokenizer.chat_template is not None:
+    messages = [{"role": "user", "content": prompt}]
+    prompt = tokenizer.apply_chat_template(
+        messages, tokenize=False, add_generation_prompt=True
+    )
+
+response = generate(model, tokenizer, prompt=prompt, verbose=True)
+```

config.json

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+{
+    "architectures": [
+        "FalconMambaForCausalLM"
+    ],
+    "bos_token_id": 0,
+    "conv_kernel": 4,
+    "eos_token_id": 11,
+    "expand": 16,
+    "hidden_act": "silu",
+    "hidden_size": 4096,
+    "initializer_range": 0.1,
+    "intermediate_size": 8192,
+    "layer_norm_epsilon": 1e-05,
+    "model_type": "falcon_mamba",
+    "num_hidden_layers": 64,
+    "pad_token_id": 11,
+    "quantization": {
+        "group_size": 64,
+        "bits": 8
+    },
+    "quantization_config": {
+        "group_size": 64,
+        "bits": 8
+    },
+    "rescale_prenorm_residual": false,
+    "residual_in_fp32": true,
+    "state_size": 16,
+    "tie_word_embeddings": false,
+    "time_step_floor": 0.0001,
+    "time_step_init_scheme": "random",
+    "time_step_max": 0.1,
+    "time_step_min": 0.001,
+    "time_step_rank": 256,
+    "time_step_scale": 1.0,
+    "torch_dtype": "bfloat16",
+    "transformers_version": "4.43.0.dev0",
+    "use_bias": false,
+    "use_cache": true,
+    "use_conv_bias": true,
+    "vocab_size": 65024
+}

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special_tokens_map.json

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+{
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+    ">>INTRODUCTION<<",
+    ">>SUMMARY<<",
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+    "single_word": false
+  }
+}

tokenizer_config.json

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+{
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+      "single_word": false,
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+  "padding_side": "left",
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+}