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README.md

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+---
+base_model:
+- tiiuae/Falcon-H1-0.5B-Instruct
+library_name: transformers
+tags:
+- bnb-my-repo
+- falcon-h1
+license: other
+license_name: falcon-llm-license
+license_link: https://falconllm.tii.ae/falcon-terms-and-conditions.html
+inference: true
+---
+# tiiuae/Falcon-H1-0.5B-Instruct (Quantized)
+
+## Description
+This model is a quantized version of the original model [`tiiuae/Falcon-H1-0.5B-Instruct`](https://huggingface.co/tiiuae/Falcon-H1-0.5B-Instruct). 
+
+It's quantized using the BitsAndBytes library to 4-bit using the [bnb-my-repo](https://huggingface.co/spaces/bnb-community/bnb-my-repo) space.
+
+## Quantization Details
+- **Quantization Type**: int4
+- **bnb_4bit_quant_type**: nf4
+- **bnb_4bit_use_double_quant**: True
+- **bnb_4bit_compute_dtype**: bfloat16
+- **bnb_4bit_quant_storage**: uint8
+
+
+
+# 📄 Original Model Information
+
+
+
+<img src="https://huggingface.co/datasets/tiiuae/documentation-images/resolve/main/falcon_mamba/falcon-h1-logo.png" alt="drawing" width="800"/>
+
+#  Table of Contents
+
+0. [TL;DR](#TL;DR)
+1. [Model Details](#model-details)
+2. [Training Details](#training-details)
+3. [Usage](#usage)
+4. [Evaluation](#evaluation)
+5. [Citation](#citation)
+
+# TL;DR
+
+# Model Details
+
+## Model Description
+
+- **Developed by:** [https://www.tii.ae](https://www.tii.ae)
+- **Model type:** Causal decoder-only
+- **Architecture:** Hybrid Transformers + Mamba architecture
+- **Language(s) (NLP):** English
+- **License:** Falcon-LLM License
+
+# Training details
+
+For more details about the training protocol of this model, please refer to the [Falcon-H1 technical blogpost](https://falcon-lm.github.io/blog/falcon-h1/).
+
+# Usage
+
+Currently to use this model you can either rely on Hugging Face `transformers`, `vLLM` or `llama.cpp` library.
+
+## Inference
+
+Make sure to install the latest version of `transformers` or `vllm`, eventually install these packages from source:
+
+```bash
+pip install git+https://github.com/huggingface/transformers.git
+```
+
+For vLLM, make sure to install `vllm>=0.9.0`:
+
+```bash
+pip install "vllm>=0.9.0"
+```
+
+### 🤗 transformers
+
+Refer to the snippet below to run H1 models using 🤗 transformers:
+
+```python
+import torch
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+model_id = "tiiuae/Falcon-H1-1B-Base"
+
+model = AutoModelForCausalLM.from_pretrained(
+  model_id,
+  torch_dtype=torch.bfloat16,
+  device_map="auto"
+)
+
+# Perform text generation
+```
+
+### vLLM
+
+For vLLM, simply start a server by executing the command below:
+
+```
+# pip install vllm>=0.9.0
+vllm serve tiiuae/Falcon-H1-1B-Instruct --tensor-parallel-size 2 --data-parallel-size 1
+```
+
+### `llama.cpp`
+
+You can find all GGUF files compatible with `llama.cpp` under [our official collection](https://huggingface.co/collections/tiiuae/falcon-h1-6819f2795bc406da60fab8df)
+
+# Evaluation
+
+Falcon-H1 series perform very well on a variety of tasks, including reasoning tasks. 
+
+| Tasks | Falcon-H1-0.5B | Qwen3-0.6B | Qwen2.5-0.5B | Gemma3-1B | Llama3.2-1B | Falcon3-1B |
+| --- | --- | --- | --- | --- | --- | --- |
+| **General**  | | | | | |
+| BBH | **42.91** | 32.95 | 33.26 | 35.86 | 33.21 | 34.47 |
+| ARC-C | 37.8 | 31.06 | 33.28 | 34.13 | 34.64 | **43.09** |
+| TruthfulQA | 44.12 | **51.65** | 46.19 | 42.17 | 42.08 | 42.31 |
+| HellaSwag | 51.93 | 42.17 | 52.38 | 42.24 | 55.3 | **58.53** |
+| MMLU | **53.4** | 42.98 | 46.07 | 40.87 | 45.93 | 46.1 |
+| **Math**  | | | | | |
+| GSM8k | **68.39** | 42.61 | 38.51 | 42.38 | 44.28 | 44.05 |
+| MATH-500 | **58.4** | 46.0 | 27.8 | 45.4 | 13.2 | 19.8 |
+| AMC-23 | **33.13** | 27.97 | 12.5 | 19.22 | 7.19 | 6.87 |
+| AIME-24 | **3.75** | 2.71 | 0.62 | 0.42 | 1.46 | 0.41 |
+| AIME-25 | **4.38** | 1.67 | 0.21 | 1.25 | 0.0 | 0.21 |
+| **Science**  | | | | | |
+| GPQA | **29.95** | 26.09 | 26.85 | 28.19 | 26.59 | 26.76 |
+| GPQA_Diamond | 27.95 | 25.08 | 24.24 | 21.55 | 25.08 | **31.31** |
+| MMLU-Pro | **31.03** | 16.95 | 18.73 | 14.46 | 16.2 | 18.49 |
+| MMLU-stem | **54.55** | 39.3 | 39.83 | 35.39 | 39.16 | 39.64 |
+| **Code**  | | | | | |
+| HumanEval | **51.83** | 41.46 | 36.59 | 40.85 | 34.15 | 22.56 |
+| HumanEval+ | **45.12** | 37.19 | 32.32 | 37.2 | 29.88 | 20.73 |
+| MBPP | 42.59 | 56.08 | 46.83 | **57.67** | 33.6 | 20.63 |
+| MBPP+ | 33.07 | 47.08 | 39.68 | **50.0** | 29.37 | 17.2 |
+| LiveCodeBench | 7.05 | **9.78** | 2.94 | 5.09 | 2.35 | 0.78 |
+| CRUXEval | **25.75** | 23.63 | 14.88 | 12.7 | 0.06 | 15.58 |
+| **Instruction Following**  | | | | | |
+| IFEval | **72.07** | 62.16 | 32.11 | 61.48 | 55.34 | 54.26 |
+| Alpaca-Eval | 10.79 | 9.59 | 3.26 | **17.87** | 9.38 | 6.98 |
+| MTBench | **7.06** | 5.75 | 4.71 | 7.03 | 6.37 | 6.03 |
+| LiveBench | 20.8 | **27.78** | 14.27 | 18.79 | 14.97 | 14.1 |
+
+You can check more in detail on our [our release blogpost](https://falcon-lm.github.io/blog/falcon-h1/), detailed benchmarks.
+
+# Useful links
+
+- View [our release blogpost](https://falcon-lm.github.io/blog/falcon-h1/).
+- Feel free to join [our discord server](https://discord.gg/trwMYP9PYm) if you have any questions or to interact with our researchers and developers.
+
+# Citation
+
+If the Falcon-H1 family of models were helpful to your work, feel free to give us a cite.
+
+```
+@misc{tiifalconh1,
+    title = {Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and Performance},
+    url = {https://falcon-lm.github.io/blog/falcon-h1},
+    author = {Falcon-LLM Team},
+    month = {May},
+    year = {2025}
+}
+```

chat_template.jinja

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+{{bos_token}}
+{%- if tools %}
+    {{- '<|im_start|>system\n' }}
+    {%- if messages[0].role == 'system' %}
+        {{- messages[0].content + '\n\n' }}
+    {%- endif %}
+    {{- "You are a function calling AI model. You are provided with function signature within <tools> </tools> XML tags. You may call one or more functions to assist with the user query. Don't make assumptions about what values to plug into functions.\n<tools>\n" }}
+    {%- for tool in tools %}[{{- tool | tojson }}]{%- endfor %}
+    {{- "\n</tools>\nFor each function call, return a json object with function name and arguments within <tool_call> </tool_call> tags with the following schema:\n<tool_call>\n{'arguments': <args-dict>, 'name': <function-name>}\n</tool_call>\n" }}
+{%- else %}
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+    {%- endif %}
+{%- endif %}{% for message in messages %}{%- if message.role != 'system' %}{{'<|im_start|>' + message['role'] + '
+' + message['content'] + '<|im_end|>' + '
+'}}{%- endif %}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant
+' }}{% endif %}

config.json

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+{
+  "architectures": [
+    "FalconH1Model"
+  ],
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+  "lm_head_multiplier": 0.0390625,
+  "mamba_chunk_size": 128,
+  "mamba_conv_bias": true,
+  "mamba_d_conv": 4,
+  "mamba_d_head": 64,
+  "mamba_d_ssm": 1536,
+  "mamba_d_state": 128,
+  "mamba_expand": 2,
+  "mamba_n_groups": 1,
+  "mamba_n_heads": 24,
+  "mamba_norm_before_gate": false,
+  "mamba_proj_bias": false,
+  "mamba_rms_norm": false,
+  "mamba_use_mlp": true,
+  "max_position_embeddings": 16384,
+  "mlp_bias": false,
+  "mlp_expansion_factor": 8,
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+  "num_key_value_heads": 2,
+  "num_logits_to_keep": 1,
+  "pad_token_id": 0,
+  "projectors_bias": false,
+  "quantization_config": {
+    "_load_in_4bit": true,
+    "_load_in_8bit": false,
+    "bnb_4bit_compute_dtype": "bfloat16",
+    "bnb_4bit_quant_storage": "uint8",
+    "bnb_4bit_quant_type": "nf4",
+    "bnb_4bit_use_double_quant": true,
+    "llm_int8_enable_fp32_cpu_offload": false,
+    "llm_int8_has_fp16_weight": false,
+    "llm_int8_skip_modules": null,
+    "llm_int8_threshold": 6.0,
+    "load_in_4bit": true,
+    "load_in_8bit": false,
+    "quant_method": "bitsandbytes"
+  },
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": null,
+  "rope_theta": 100000000000.0,
+  "ssm_in_multiplier": 1.25,
+  "ssm_multipliers": [
+    0.3535533905932738,
+    0.25,
+    0.3535533905932738,
+    0.5,
+    0.3535533905932738
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+  "ssm_out_multiplier": 0.23570226039551587,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.53.1",
+  "use_cache": true,
+  "vocab_size": 32784
+}

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+    "content": "<|end_of_text|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "<pad>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}