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README.md

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----
-base_model:
-- meta-llama/Llama-3.2-1B-Instruct
-license: mit
----
-
-The Critic Agent of Sequential-Style (light) MAS in the paper: Recursive Multi-Agent Systems. (base model: meta-llama/Llama-3.2-1B-Instruct)

adapter(code).pt

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-oid sha256:5053c60fed06d388b423bbb2ef0677af8f160a146789e790e1c5ed1e28f18844
-size 16805005

adapter(math).pt

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-version https://git-lfs.github.com/spec/v1
-oid sha256:4988907ff79262e4843940f358544a6079c54d0016f680dbb9dc9cf15a870f49
-size 16805005

adapter_config.json

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-{
-  "adapter_type": "ln_res_adapter"
-}

chat_template.jinja

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-{{- bos_token }}
-{%- if custom_tools is defined %}
-    {%- set tools = custom_tools %}
-{%- endif %}
-{%- if not tools_in_user_message is defined %}
-    {%- set tools_in_user_message = true %}
-{%- endif %}
-{%- if not date_string is defined %}
-    {%- if strftime_now is defined %}
-        {%- set date_string = strftime_now("%d %b %Y") %}
-    {%- else %}
-        {%- set date_string = "26 Jul 2024" %}
-    {%- endif %}
-{%- endif %}
-{%- if not tools is defined %}
-    {%- set tools = none %}
-{%- endif %}
-
-{#- This block extracts the system message, so we can slot it into the right place. #}
-{%- if messages[0]['role'] == 'system' %}
-    {%- set system_message = messages[0]['content']|trim %}
-    {%- set messages = messages[1:] %}
-{%- else %}
-    {%- set system_message = "" %}
-{%- endif %}
-
-{#- System message #}
-{{- "<|start_header_id|>system<|end_header_id|>\n\n" }}
-{%- if tools is not none %}
-    {{- "Environment: ipython\n" }}
-{%- endif %}
-{{- "Cutting Knowledge Date: December 2023\n" }}
-{{- "Today Date: " + date_string + "\n\n" }}
-{%- if tools is not none and not tools_in_user_message %}
-    {{- "You have access to the following functions. To call a function, please respond with JSON for a function call." }}
-    {{- 'Respond in the format {"name": function name, "parameters": dictionary of argument name and its value}.' }}
-    {{- "Do not use variables.\n\n" }}
-    {%- for t in tools %}
-        {{- t | tojson(indent=4) }}
-        {{- "\n\n" }}
-    {%- endfor %}
-{%- endif %}
-{{- system_message }}
-{{- "<|eot_id|>" }}
-
-{#- Custom tools are passed in a user message with some extra guidance #}
-{%- if tools_in_user_message and not tools is none %}
-    {#- Extract the first user message so we can plug it in here #}
-    {%- if messages | length != 0 %}
-        {%- set first_user_message = messages[0]['content']|trim %}
-        {%- set messages = messages[1:] %}
-    {%- else %}
-        {{- raise_exception("Cannot put tools in the first user message when there's no first user message!") }}
-{%- endif %}
-    {{- '<|start_header_id|>user<|end_header_id|>\n\n' -}}
-    {{- "Given the following functions, please respond with a JSON for a function call " }}
-    {{- "with its proper arguments that best answers the given prompt.\n\n" }}
-    {{- 'Respond in the format {"name": function name, "parameters": dictionary of argument name and its value}.' }}
-    {{- "Do not use variables.\n\n" }}
-    {%- for t in tools %}
-        {{- t | tojson(indent=4) }}
-        {{- "\n\n" }}
-    {%- endfor %}
-    {{- first_user_message + "<|eot_id|>"}}
-{%- endif %}
-
-{%- for message in messages %}
-    {%- if not (message.role == 'ipython' or message.role == 'tool' or 'tool_calls' in message) %}
-        {{- '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|eot_id|>' }}
-    {%- elif 'tool_calls' in message %}
-        {%- if not message.tool_calls|length == 1 %}
-            {{- raise_exception("This model only supports single tool-calls at once!") }}
-        {%- endif %}
-        {%- set tool_call = message.tool_calls[0].function %}
-        {{- '<|start_header_id|>assistant<|end_header_id|>\n\n' -}}
-        {{- '{"name": "' + tool_call.name + '", ' }}
-        {{- '"parameters": ' }}
-        {{- tool_call.arguments | tojson }}
-        {{- "}" }}
-        {{- "<|eot_id|>" }}
-    {%- elif message.role == "tool" or message.role == "ipython" %}
-        {{- "<|start_header_id|>ipython<|end_header_id|>\n\n" }}
-        {%- if message.content is mapping or message.content is iterable %}
-            {{- message.content | tojson }}
-        {%- else %}
-            {{- message.content }}
-        {%- endif %}
-        {{- "<|eot_id|>" }}
-    {%- endif %}
-{%- endfor %}
-{%- if add_generation_prompt %}
-    {{- '<|start_header_id|>assistant<|end_header_id|>\n\n' }}
-{%- endif %}

config.json

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-{
-  "architectures": [
-    "LlamaForCausalLM"
-  ],
-  "attention_bias": false,
-  "attention_dropout": 0.0,
-  "bos_token_id": 128000,
-  "dtype": "bfloat16",
-  "eos_token_id": [
-    128001,
-    128008,
-    128009
-  ],
-  "head_dim": 64,
-  "hidden_act": "silu",
-  "hidden_size": 2048,
-  "initializer_range": 0.02,
-  "intermediate_size": 8192,
-  "max_position_embeddings": 131072,
-  "mlp_bias": false,
-  "model_type": "llama",
-  "num_attention_heads": 32,
-  "num_hidden_layers": 16,
-  "num_key_value_heads": 8,
-  "pad_token_id": null,
-  "pretraining_tp": 1,
-  "rms_norm_eps": 1e-05,
-  "rope_parameters": {
-    "factor": 32.0,
-    "high_freq_factor": 4.0,
-    "low_freq_factor": 1.0,
-    "original_max_position_embeddings": 8192,
-    "rope_theta": 500000.0,
-    "rope_type": "llama3"
-  },
-  "tie_word_embeddings": true,
-  "transformers_version": "5.3.0",
-  "use_cache": true,
-  "vocab_size": 128256
-}

generation_config.json

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-{
-  "bos_token_id": 128000,
-  "do_sample": true,
-  "eos_token_id": [
-    128001,
-    128008,
-    128009
-  ],
-  "temperature": 0.6,
-  "top_p": 0.9,
-  "transformers_version": "5.3.0"
-}

innerlink_config.json

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-{
-  "format_version": 1,
-  "paradigm": "sequential",
-  "variant": "light",
-  "role": "Critic",
-  "backbone": "Llama3.2-1B",
-  "shared_files": [
-    "adapter_config.json",
-    "chat_template.jinja",
-    "config.json",
-    "generation_config.json",
-    "model.safetensors",
-    "tokenizer.json",
-    "tokenizer_config.json"
-  ],
-  "tasks": {
-    "math": {
-      "adapter.pt": "adapter(math).pt",
-      "adapter_config.json": "adapter_config.json",
-      "chat_template.jinja": "chat_template.jinja",
-      "config.json": "config.json",
-      "generation_config.json": "generation_config.json",
-      "tokenizer.json": "tokenizer.json",
-      "tokenizer_config.json": "tokenizer_config.json"
-    },
-    "code": {
-      "adapter.pt": "adapter(code).pt",
-      "adapter_config.json": "adapter_config.json",
-      "chat_template.jinja": "chat_template.jinja",
-      "config.json": "config.json",
-      "generation_config.json": "generation_config.json",
-      "tokenizer.json": "tokenizer.json",
-      "tokenizer_config.json": "tokenizer_config.json"
-    }
-  }
-}

model.safetensors

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-size 2471645608

tokenizer.json

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-version https://git-lfs.github.com/spec/v1
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-size 17209920

tokenizer_config.json

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-{
-  "backend": "tokenizers",
-  "bos_token": "<|begin_of_text|>",
-  "clean_up_tokenization_spaces": true,
-  "eos_token": "<|eot_id|>",
-  "is_local": false,
-  "model_input_names": [
-    "input_ids",
-    "attention_mask"
-  ],
-  "model_max_length": 131072,
-  "pad_token": "<|eot_id|>",
-  "tokenizer_class": "TokenizersBackend"
-}