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.gitattributes CHANGED
@@ -33,3 +33,4 @@ 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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  *tfevents* filter=lfs diff=lfs merge=lfs -text
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+ tokenizer.json filter=lfs diff=lfs merge=lfs -text
README.md ADDED
@@ -0,0 +1,58 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ library_name: mlx
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+ language:
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+ - ar
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+ - cs
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+ - de
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+ - en
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+ - es
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+ - fr
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+ - hi
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+ - it
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+ - ja
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+ - ko
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+ - nl
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+ - pl
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+ - pt
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+ - ro
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+ - ru
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+ - sv
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+ - ur
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+ - zh
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+ tags:
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+ - falcon-h1r
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+ - mlx
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+ license: other
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+ license_name: falcon-llm-license
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+ license_link: https://falconllm.tii.ae/falcon-terms-and-conditions.html
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+ base_model: tiiuae/Falcon-H1R-7B
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+ pipeline_tag: text-generation
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+ ---
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+
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+ # mlx-community/Falcon-H1R-7B-bf16
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+
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+ This model [mlx-community/Falcon-H1R-7B-bf16](https://huggingface.co/mlx-community/Falcon-H1R-7B-bf16) was
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+ converted to MLX format from [tiiuae/Falcon-H1R-7B](https://huggingface.co/tiiuae/Falcon-H1R-7B)
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+ using mlx-lm version **0.29.1**.
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+
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+ ## Use with mlx
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+
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+ ```bash
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+ pip install mlx-lm
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+ ```
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+
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+ ```python
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+ from mlx_lm import load, generate
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+
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+ model, tokenizer = load("mlx-community/Falcon-H1R-7B-bf16")
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+
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+ prompt = "hello"
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+
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+ if tokenizer.chat_template is not None:
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+ messages = [{"role": "user", "content": prompt}]
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+ prompt = tokenizer.apply_chat_template(
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+ messages, add_generation_prompt=True
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+ )
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+
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+ response = generate(model, tokenizer, prompt=prompt, verbose=True)
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+ ```
chat_template.jinja ADDED
@@ -0,0 +1,101 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ {# --- System Prompt Handling --- #}
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+ {%- if messages and messages[0]['role'] == 'system' %}
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+ {% set system_msg = messages[0]['content'] %}
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+ {%- set remaining_messages = messages[1:] %}
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+ {%- else %}
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+ {% set system_msg = "You are Falcon, a helpful AI assistant created by Technology Innovation Institute (TII). To answer the user's question, you first think about the reasoning process and then provide the user with the answer. The reasoning process is enclosed within <think> </think> tags, i.e., <think> reasoning process here </think> answer here." %}
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+ {%- set remaining_messages = messages %}
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+ {%- endif %}
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+
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+ {%- if tools %}
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+ <|im_start|>system
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+ {{ system_msg }}
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+ # Tools
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+ You may call one or more functions to assist with the user query. You are provided with function signatures within <tools></tools> XML tags.
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+ <tools>
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+ {%- for tool in tools %}
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+ {{- "" }}
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+ {{ tool | tojson }}
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+ {%- endfor %}
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+ {{- "" }}
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+ </tools>
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+ For each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:
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+ <tool_call>
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+ {"name": <function-name>, "arguments": <args-json-object>}
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+ </tool_call>
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+ <|im_end|>
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+
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+ {%- else %}
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+ <|im_start|>system
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+ {{ system_msg }}
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+ <|im_end|>
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+ {%- endif %}
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+
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+ {# --- Render remaining messages --- #}
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+ {%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
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+ {%- for message in messages[::-1] %}
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+ {%- set index = (messages|length - 1) - loop.index0 %}
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+ {%- if ns.multi_step_tool and message.role == "user" and message.content is string and not(message.content.startswith('<tool_response>') and message.content.endswith('</tool_response>')) %}
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+ {%- set ns.multi_step_tool = false %}
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+ {%- set ns.last_query_index = index %}
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+ {%- endif %}
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+ {%- endfor %}{%- for message in remaining_messages %}
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+ {%- set content = message.get('content','') %}
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+ {%- if message['role'] == 'user' %}
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+ {{- '<|im_start|>' + message['role'] + '\n' + content + '<|im_end|>\n' }}
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+ {%- elif message['role'] == 'assistant' %}
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+ {{- '<|im_start|>' + message.role + '\n' }}
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+ {%- set reasoning_content = '' %}
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+ {%- if message.reasoning_content is string %}
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+ {%- set reasoning_content = message.reasoning_content %}
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+ {%- else %}
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+ {%- if '</think>' in content %}
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+ {%- set reasoning_content = content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}
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+ {%- set content = content.split('</think>')[-1].lstrip('\n') %}
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+ {%- endif %}
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+ {%- endif %}
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+ {%- if loop.index0 > ns.last_query_index %}
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+ {%- if loop.last or (not loop.last and reasoning_content) %}
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+ {{- '<think>\n' + reasoning_content.strip('\n') + '\n</think>\n\n' + content.lstrip('\n') }}
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+ {%- else %}
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+ {{- content + '\n' }}
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+ {%- endif %}
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+ {%- else %}
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+ {{- content + '\n' }}
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+ {%- endif %}
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+ {%- if tools and message.tool_calls %}
67
+ {%- for tool_call in message.tool_calls %}
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+ {%- if tool_call.function is defined %}
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+ {%- set tool_call = tool_call.function %}
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+ {%- endif %}
71
+ {{-'<tool_call>\n' }}
72
+ {{- '{"name": "'+ tool_call.name + '", "arguments":' }}
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+ {%- if tool_call.arguments is string -%}
74
+ {{ tool_call.arguments }}
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+ {%- else -%}
76
+ {{ tool_call.arguments | tojson }}
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+ {%- endif -%}
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+ {{- '}' }}
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+ {{- '\n</tool_call>\n' }}
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+ {%- endfor %}
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+ {%- endif %}
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+ {%- if not loop.last %}
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+ {{- '<|im_end|>' + '\n' }}
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+ {%- else %}
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+ {{- '<|im_end|>' }}
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+ {%- endif %}
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+ {%- elif message['role'] == 'tool' %}
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+ {# Tool responses treated as user messages #}
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+ {%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != "tool") %}
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+ {{- '<|im_start|>user' }}
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+ {%- endif %}
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+ {{- '\n<tool_response>\n' + message['content'] + '\n</tool_response>' }}
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+ {%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
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+ {{- '<|im_end|>\n' }}
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+ {%- endif %}
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+ {%- endif %}
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+ {# --- Add generation prompt after last message if requested --- #}
98
+ {%- if loop.last and add_generation_prompt %}
99
+ {{- '<|im_start|>assistant\n' }}
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+ {%- endif %}
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+ {%- endfor %}
config.json ADDED
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+ {
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+ "architectures": [
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+ "FalconH1ForCausalLM"
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+ ],
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+ "intermediate_size": 12288,
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+ "key_multiplier": 0.030690398488999456,
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+ "lm_head_multiplier": 0.013020833333333334,
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+ "mamba_chunk_size": 128,
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+ "mamba_conv_bias": true,
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+ "mamba_d_conv": 4,
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+ "mamba_d_head": 128,
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+ "mamba_d_ssm": 3072,
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+ "mamba_d_state": 256,
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+ "mamba_expand": 2,
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+ "mamba_n_groups": 1,
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+ "mamba_n_heads": 24,
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+ "mamba_norm_before_gate": false,
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+ "mamba_proj_bias": false,
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+ "mamba_rms_norm": true,
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+ "mamba_use_mlp": true,
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+ "max_position_embeddings": 262144,
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+ "mlp_bias": false,
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+ "mlp_expansion_factor": 8,
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+ "mlp_multipliers": [
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+ "model_type": "falcon_h1",
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+ "num_attention_heads": 12,
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+ "num_hidden_layers": 44,
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+ "num_key_value_heads": 2,
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+ "num_logits_to_keep": 1,
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+ "pad_token_id": 0,
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+ "projectors_bias": false,
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+ "rms_norm_eps": 1e-05,
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+ "rope_scaling": null,
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+ "rope_theta": 100000000000,
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+ "ssm_in_multiplier": 0.4166666666666667,
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+ "ssm_multipliers": [
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+ 0.25,
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+ "ssm_out_multiplier": 0.11785113019775792,
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+ "tie_word_embeddings": false,
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+ "torch_dtype": "bfloat16",
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+ "transformers_version": "4.52.0.dev0",
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+ "use_cache": true,
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+ "vocab_size": 130048
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+ }
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862
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tokenizer.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
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+ size 10534300
tokenizer_config.json ADDED
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