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README.md

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+---
+license: apache-2.0
+tags:
+- pruned
+- python
+- optimized
+- wanda
+base_model: tiiuae/Falcon-H1-Tiny-R-90M
+pipeline_tag: text-generation
+---
+
+# Falcon-H1-Tiny-R-90M-python-safe
+
+> 🎯 **PYTHON-optimized** | 📦 **Safe** pruning | ⚡ **1% weights pruned**
+
+This model is a **conservatively pruned** version of [tiiuae/Falcon-H1-Tiny-R-90M](https://huggingface.co/tiiuae/Falcon-H1-Tiny-R-90M).
+
+## Performance Comparison
+
+| Category | Original | Pruned | Change |
+|----------|----------|--------|--------|
+| **Python** | 0.0% | 0.0% ⭐ | → |
+| Html | 0.0% | 0.0% | → |
+| Trivia | 0.0% | 0.0% | → |
+| Math | 0.0% | 0.0% | → |
+| Reasoning | 0.0% | 0.0% | → |
+| Medical | 0.0% | 16.7% | ↑ 16.7% |
+| Linux | 0.0% | 0.0% | → |
+| Writing | 0.0% | 0.0% | → |
+
+**Average**: 0.0% → 2.1% (+2.1%)
+
+
+
+![Comparison Graph](comparison_graph.png)
+
+## Quick Start
+
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+model = AutoModelForCausalLM.from_pretrained("CompactAI/Falcon-H1-Tiny-R-90M-python-safe")
+tokenizer = AutoTokenizer.from_pretrained("CompactAI/Falcon-H1-Tiny-R-90M-python-safe")
+
+inputs = tokenizer("Your prompt here", return_tensors="pt")
+outputs = model.generate(**inputs, max_new_tokens=100)
+print(tokenizer.decode(outputs[0], skip_special_tokens=True))
+```
+
+## Technical Details
+
+| Property | Value |
+|----------|-------|
+| Base Model | [tiiuae/Falcon-H1-Tiny-R-90M](https://huggingface.co/tiiuae/Falcon-H1-Tiny-R-90M) |
+| Specialization | Python |
+| Prune Mode | Safe |
+| Weight Reduction | 1% weights pruned |
+
+## License
+
+This model inherits the license from the base model.

chat_template.jinja

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+{%- if tools %} {{bos_token}}<|system|>
+{%- if messages[0]['role'] == 'system' %}
+{{ messages[0]['content'] }}
+{%- set remaining_messages = messages[1:] %}
+{%- else %}
+{%- set remaining_messages = messages %}
+{%- endif %}
+{{ 'You are a Falcon assistant skilled in function calling. You are helpful, respectful, and concise.
+
+# Tools
+
+You have access to the following functions. You MUST use them to answer questions when needed. For each function call, you MUST return a JSON object inside <tool_call></tool_call> tags.
+
+<tools>' + tools|tojson(indent=2) + '</tools>
+
+# Output Format
+
+Your response MUST follow this format when making function calls:
+<tool_call>
+[
+  {"name": "function_name", "arguments": {"arg1": "value1", "arg2": "value2"}},
+  {"name": "another_function", "arguments": {"arg": "value"}}
+]
+</tool_call>
+If no function calls are needed, respond normally without the tool_call tags.' }}
+{%- for message in remaining_messages %}
+{%- if message['role'] == 'user' %}
+<|im_start|>user
+{{ message['content'] }}<|im_end|>
+{%- elif message['role'] == 'assistant' %}
+{%- if message.content %}
+<|im_start|>assistant
+{{ message['content'] }}
+<|im_end|>
+{%- endif %}
+{%- if message.tool_calls %}
+<tool_call>
+{{ message.tool_calls|tojson(indent=2) }}
+</tool_call>
+{%- endif %}
+{%- elif message['role'] == 'tool' %}
+<|im_start|>assistant
+<tool_response>
+{{ message['content'] }}
+</tool_response><|im_end|>
+{%- endif %}
+{%- endfor %}
+{{ '<|im_start|>assistant
+' if add_generation_prompt }}
+{%- else %} {{bos_token}}{% for message in messages %} {{ '<|im_start|>' + message['role'] + '
+' + message['content'] + '<|im_end|>
+' }} {% endfor %} {% if add_generation_prompt %}{{ '<|im_start|>assistant
+' }}{% endif %} {%- endif %}

config.json

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+{
+  "add_bos_token": false,
+  "architectures": [
+    "FalconH1ForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "attention_in_multiplier": 1.0,
+  "attention_out_multiplier": 1.0,
+  "bos_token_id": 1,
+  "dtype": "float16",
+  "embedding_multiplier": 0.034423828125,
+  "eos_token_id": 11,
+  "expansion_factor": 1.5,
+  "head_dim": 64,
+  "hidden_act": "silu",
+  "hidden_size": 512,
+  "initializer_range": 0.02,
+  "intermediate_size": 768,
+  "key_multiplier": 1.0,
+  "lm_head_multiplier": 0.078125,
+  "mamba_chunk_size": 128,
+  "mamba_conv_bias": true,
+  "mamba_d_conv": 4,
+  "mamba_d_head": 32,
+  "mamba_d_ssm": 768,
+  "mamba_d_state": 64,
+  "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": 262144,
+  "mlp_bias": false,
+  "mlp_multipliers": [
+    1.0,
+    1.0
+  ],
+  "model_type": "falcon_h1",
+  "num_attention_heads": 8,
+  "num_hidden_layers": 24,
+  "num_key_value_heads": 2,
+  "num_logits_to_keep": 1,
+  "pad_token_id": 0,
+  "projectors_bias": false,
+  "rms_norm_eps": 1e-05,
+  "rope_parameters": {
+    "rope_theta": 100000000000.0,
+    "rope_type": "default"
+  },
+  "sliding_window": null,
+  "ssm_in_multiplier": 1.0,
+  "ssm_multipliers": [
+    1.0,
+    1.0,
+    1.0,
+    1.0,
+    1.0
+  ],
+  "ssm_out_multiplier": 1.0,
+  "tie_word_embeddings": true,
+  "time_step_floor": 0.0001,
+  "time_step_max": 0.1,
+  "time_step_min": 0.001,
+  "time_step_rank": "auto",
+  "transformers_version": "5.0.0",
+  "use_cache": true,
+  "vocab_size": 32768
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 1,
+  "do_sample": false,
+  "eos_token_id": [
+    11,
+    228
+  ],
+  "pad_token_id": 0,
+  "transformers_version": "5.0.0"
+}

model.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:b45daac5015cdb4cd5c2037a0e966434c5f7be269a0e53bdcad312b7dd8296df
+size 182303728

tokenizer_config.json

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+{
+  "backend": "tokenizers",
+  "bos_token": "<|begin_of_text|>",
+  "clean_up_tokenization_spaces": true,
+  "eos_token": "<|end_of_text|>",
+  "extra_special_tokens": [
+    "<|pad|>",
+    ">>ABSTRACT<<",
+    ">>INTRODUCTION<<",
+    ">>SUMMARY<<",
+    ">>COMMENT<<",
+    ">>ANSWER<<",
+    ">>QUESTION<<",
+    ">>DOMAIN<<",
+    ">>PREFIX<<",
+    ">>SUFFIX<<",
+    ">>MIDDLE<<",
+    "<|finetune_right_pad_id|>",
+    "<|start_header_id|>",
+    "<|end_header_id|>",
+    "<|eom_id|>",
+    "<|eot_id|>",
+    "<|begin_of_text|>",
+    ">>TITLE<<",
+    "<tool_response>",
+    "</tool_response>",
+    "<tool_call>",
+    "</tool_call>",
+    "<schema>",
+    "</schema>",
+    "<scratch_pad>",
+    "</scratch_pad>",
+    "<thinking>",
+    "</thinking>",
+    "<explanation>",
+    "</explanation>",
+    "<file_sep>",
+    "<repo_name>",
+    "<|im_end|>",
+    "<|im_start|>",
+    "<|system|>",
+    "<|file_sep|>",
+    "<|repo_name|>",
+    "<|repo_tree|>",
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+}