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chat_template.jinja

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+{# -------------------------------Optional: Define available tools------------------------------- #}{%- if tools %}{%- for tool in tools %}{{- "\x11" -}} {# Start Of Tool Definition #}{{- "\x0E" -}} {# Start Of Attention Block #}{{- tool['function']['name'] + '\n' -}}{# Loop through all argument names and their descriptions #}{%- for argument in tool['function']['parameters']['properties'] %}{{- argument + ': ' + tool['function']['parameters']['properties'][argument]['description'] + '\n' -}}{%- endfor %}{{- '\x0F' -}} {# End Of Attention Block #}{%- endfor %}{%- endif %}{# -------------------------------Main conversation message loop------------------------------- #}{% for message in messages %}{{- "\x01" -}} {# Start Of Text Block #}{# Print the role tag, e.g. user or assistant #}{{- message.role + "\n" -}}{# If not the "assistant", we wrap with an attention block #}{% if message.role != "assistant" %}{{- "\x0E" -}}{% endif %}{# If the message contains normal content, print it #}{% if message.content %}{{- message.content -}}{% endif %}{# If the assistant called any tools, print those tool calls #}{% if message.tool_calls %}{% for call in message.tool_calls %}{{- "\x1A" -}} {# Start Of Tool Call #}{{- call.type + " " + call.function.name+ "(" + call.function.arguments | tojson + ")" -}}{{- "\x1B" -}} {# End Of Tool Call #}{% endfor %}{% endif %}{# If not the "assistant", we wrap with an attention block #}{% if message.role != "assistant" %}{{- "\x0F" -}}{% endif %}{{- "\x17" -}} {# End Of Text Block #}{{- "\n" -}} {# Newline after each message #}{% endfor %}{# -------------------------------Add a final assistant prompt marker to continue generation------------------------------- #}{%- if add_generation_prompt %}{{- "\x01assistant\n" -}}{%- endif %}

config.json

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+{
+  "architectures": [
+    "CharacterCausalLMWrapper"
+  ],
+  "base_model_name_or_path": "sign/utf8-lm-tiny",
+  "bos_token_id": 2,
+  "dtype": "float32",
+  "eos_token_id": 3,
+  "model_type": "character_causal_lm",
+  "num_bytes": 4,
+  "pad_token_id": 0,
+  "transformers_version": "4.57.3"
+}

model.safetensors

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+oid sha256:f3f434379d279f799d15f3f44f9b5722c4adfe65a0e48d9a8f3a1573c1a9d720
+size 13000480

optimizer.pt

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+oid sha256:c9c02aa1d0972610f5fe2f3845c15451b08bc0d41ca4e8bfd06eae04daf61f04
+size 24962187

rng_state.pth

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+size 14645

scheduler.pt

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+oid sha256:b0b5e80164025bc0b1fea364c5130f846e3294d9ff1d2acdb4f8586c6891d0d5
+size 1465

special_tokens_map.json

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+{
+  "bos_token": "\u0002",
+  "eos_token": "\u0003",
+  "pad_token": "\u0000"
+}

tokenizer_config.json

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+{
+  "added_tokens_decoder": {
+    "0": {
+      "content": "\u0000",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "2": {
+      "content": "\u0002",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "3": {
+      "content": "\u0003",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "bos_token": "\u0002",
+  "bos_token_id": 2,
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "\u0003",
+  "eos_token_id": 3,
+  "extra_special_tokens": {},
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": "\u0000",
+  "pad_token_id": 0,
+  "tokenizer_class": "UTF32Tokenizer"
+}

training_args.bin

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+version https://git-lfs.github.com/spec/v1
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+size 5841