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Browse files- merged/chat_template.jinja +16 -0
- merged/config.json +69 -0
- merged/generation_config.json +12 -0
- merged/model.safetensors +3 -0
- merged/tokenizer.json +0 -0
- merged/tokenizer_config.json +14 -0
merged/chat_template.jinja
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{% set has_system = messages|selectattr('role', 'equalto', 'system')|list|length > 0 %}{% if not has_system %}{{ '<|im_start|>system
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You are OLMo, a helpful function-calling AI assistant built by Ai2. Your date cutoff is November 2024, and your model weights are available at https://huggingface.co/allenai. You do not currently have access to any functions. <functions></functions><|im_end|>
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' }}{% endif %}{% for message in messages %}{% if message['role'] == 'system' %}{{ '<|im_start|>system
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' + message['content'] }}{% if message.get('functions', none) is not none %}{{ ' <functions>' + message['functions'] + '</functions><|im_end|>
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' }}{% else %}{{ ' You do not currently have access to any functions. <functions></functions><|im_end|>
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' }}{% endif %}{% elif message['role'] == 'user' %}{% if message.get('functions', none) is not none %}{{ '<|im_start|>user
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' + message['content'] + '
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' + '<functions>' + message['functions'] + '</functions><|im_end|>
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' }}{% else %}{{ '<|im_start|>user
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' + message['content'] + '<|im_end|>
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' }}{% endif %}{% elif message['role'] == 'assistant' %}{{ '<|im_start|>assistant
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' }}{% if message.get('content', none) is not none %}{{ message['content'] }}{% endif %}{% if message.get('function_calls', none) is not none %}{{ '<function_calls>' + message['function_calls'] + '</function_calls>' }}{% endif %}{% if not loop.last %}{{ '<|im_end|>' + '
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' }}{% else %}{{ eos_token }}{% endif %}{% elif message['role'] == 'environment' %}{{ '<|im_start|>environment
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' + message['content'] + '<|im_end|>
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' }}{% endif %}{% if loop.last and add_generation_prompt %}{{ '<|im_start|>assistant
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<think>' }}{% endif %}{% endfor %}
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merged/config.json
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{
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"architectures": [
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"Olmo3ForCausalLM"
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],
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"attention_bias": false,
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"attention_dropout": 0.0,
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"bos_token_id": null,
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"dtype": "bfloat16",
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"eos_token_id": 100257,
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"hidden_act": "silu",
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"hidden_size": 4096,
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"initializer_range": 0.02,
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"intermediate_size": 11008,
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"layer_types": [
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"sliding_attention",
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"sliding_attention",
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"sliding_attention",
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"full_attention",
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"sliding_attention",
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"sliding_attention",
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"sliding_attention",
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"full_attention",
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"sliding_attention",
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"sliding_attention",
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"sliding_attention",
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"full_attention",
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"sliding_attention",
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"sliding_attention",
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"sliding_attention",
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"full_attention",
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"sliding_attention",
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"sliding_attention",
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"sliding_attention",
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"full_attention",
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"sliding_attention",
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"sliding_attention",
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"sliding_attention",
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"full_attention",
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"sliding_attention",
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"sliding_attention",
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"sliding_attention",
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"full_attention",
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"sliding_attention",
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"sliding_attention",
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"sliding_attention",
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"full_attention"
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],
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"max_position_embeddings": 65536,
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"model_type": "olmo3",
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"num_attention_heads": 32,
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"num_hidden_layers": 32,
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"num_key_value_heads": 32,
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"pad_token_id": 100277,
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"rms_norm_eps": 1e-06,
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"rope_parameters": {
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"attention_factor": 1.2079441541679836,
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"beta_fast": 32.0,
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"beta_slow": 1.0,
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"factor": 8.0,
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"original_max_position_embeddings": 8192,
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"rope_theta": 500000,
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"rope_type": "yarn"
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},
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"sliding_window": 4096,
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"tie_word_embeddings": false,
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"transformers_version": "5.0.0",
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"use_cache": false,
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"vocab_size": 100278
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}
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merged/generation_config.json
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{
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"_from_model_config": true,
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"do_sample": true,
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"eos_token_id": [
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100265,
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100257
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],
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"max_new_tokens": 32768,
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"temperature": 0.6,
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"top_p": 0.95,
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"transformers_version": "5.0.0"
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}
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merged/model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:fa94a328618acfd50cc85d84f383cfc1337b7adf4eedfd72f1e26743d5b71dec
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size 14596063960
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merged/tokenizer.json
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merged/tokenizer_config.json
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{
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"add_prefix_space": false,
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"backend": "tokenizers",
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"bos_token": "<|endoftext|>",
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"clean_up_tokenization_spaces": false,
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"eos_token": "<|endoftext|>",
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"errors": "replace",
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"is_local": true,
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"model_max_length": 65536,
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"model_specific_special_tokens": {},
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"pad_token": "<|pad|>",
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"tokenizer_class": "GPT2Tokenizer",
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"unk_token": "<|endoftext|>"
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}
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