Upload 15 files

.gitattributes

@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+openvino_model.xml filter=lfs diff=lfs merge=lfs -text

added_tokens.json

@@ -0,0 +1,5 @@
+{
+  "<|end_of_role|>": 49153,
+  "<|start_of_role|>": 49152,
+  "<|tool_call|>": 49154
+}

config.json

@@ -0,0 +1,36 @@
+{
+  "_name_or_path": "ibm-granite/granite-3.1-3b-a800m-instruct",
+  "architectures": [
+    "GraniteMoeForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "attention_multiplier": 0.015625,
+  "bos_token_id": 0,
+  "embedding_multiplier": 12.0,
+  "eos_token_id": 0,
+  "hidden_act": "silu",
+  "hidden_size": 1536,
+  "initializer_range": 0.02,
+  "intermediate_size": 512,
+  "logits_scaling": 6.0,
+  "max_position_embeddings": 131072,
+  "model_type": "granitemoe",
+  "num_attention_heads": 24,
+  "num_experts_per_tok": 8,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 8,
+  "num_local_experts": 40,
+  "output_router_logits": false,
+  "pad_token_id": 0,
+  "residual_multiplier": 0.22,
+  "rms_norm_eps": 1e-06,
+  "rope_scaling": null,
+  "rope_theta": 10000000.0,
+  "router_aux_loss_coef": 0.0,
+  "tie_word_embeddings": true,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.46.3",
+  "use_cache": true,
+  "vocab_size": 49155
+}

generation_config.json

@@ -0,0 +1,7 @@
+{
+  "_from_model_config": true,
+  "bos_token_id": 0,
+  "eos_token_id": 0,
+  "pad_token_id": 0,
+  "transformers_version": "4.46.3"
+}

openvino_config.json

@@ -0,0 +1,28 @@
+{
+  "compression": null,
+  "dtype": "int4",
+  "input_info": null,
+  "optimum_version": "1.24.0.dev0",
+  "quantization_config": {
+    "all_layers": null,
+    "backup_precision": null,
+    "bits": 4,
+    "dataset": "wikitext2",
+    "gptq": null,
+    "group_size": 128,
+    "ignored_scope": null,
+    "lora_correction": null,
+    "num_samples": null,
+    "processor": null,
+    "quant_method": "awq",
+    "ratio": 1.0,
+    "scale_estimation": null,
+    "sensitivity_metric": null,
+    "sym": false,
+    "tokenizer": null,
+    "trust_remote_code": false,
+    "weight_format": "int4"
+  },
+  "save_onnx_model": false,
+  "transformers_version": "4.46.3"
+}

openvino_detokenizer.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:32be371868f1de11802bd5bb4498575f206d26717077766543848451d8e28815
+size 493005

openvino_detokenizer.xml

@@ -0,0 +1,264 @@
+<?xml version="1.0"?>
+<net name="detokenizer" version="11">
+	<layers>
+		<layer id="0" name="Parameter_657689" type="Parameter" version="opset1">
+			<data shape="?,?" element_type="i64" />
+			<output>
+				<port id="0" precision="I64" names="Parameter_657689">
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1" name="Convert_657706" type="Convert" version="opset1">
+			<data destination_type="i32" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2" name="Constant_657664" type="Const" version="opset1">
+			<data element_type="u8" shape="492952" offset="0" size="492952" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>492952</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3" name="StringTensorUnpack_657665" type="StringTensorUnpack" version="extension">
+			<data mode="begins_ends" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>492952</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I32">
+					<dim>-1</dim>
+				</port>
+				<port id="2" precision="I32">
+					<dim>-1</dim>
+				</port>
+				<port id="3" precision="U8">
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4" name="VocabDecoder_657690" type="VocabDecoder" version="extension">
+			<data skip_tokens="0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 49152, 49153, 49154" />
+			<input>
+				<port id="0" precision="I32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>-1</dim>
+				</port>
+				<port id="2" precision="I32">
+					<dim>-1</dim>
+				</port>
+				<port id="3" precision="U8">
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="4" precision="I32">
+					<dim>-1</dim>
+				</port>
+				<port id="5" precision="I32">
+					<dim>-1</dim>
+				</port>
+				<port id="6" precision="I32">
+					<dim>-1</dim>
+				</port>
+				<port id="7" precision="I32">
+					<dim>-1</dim>
+				</port>
+				<port id="8" precision="U8">
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5" name="FuzeRagged_657691" type="FuzeRagged" version="extension">
+			<input>
+				<port id="0" precision="I32">
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>-1</dim>
+				</port>
+				<port id="2" precision="I32">
+					<dim>-1</dim>
+				</port>
+				<port id="3" precision="I32">
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="4" precision="I32">
+					<dim>-1</dim>
+				</port>
+				<port id="5" precision="I32">
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="6" name="UTF8Validate_657692" type="UTF8Validate" version="extension">
+			<data replace_mode="true" />
+			<input>
+				<port id="0" precision="I32">
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>-1</dim>
+				</port>
+				<port id="2" precision="U8">
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="3" precision="I32">
+					<dim>-1</dim>
+				</port>
+				<port id="4" precision="I32">
+					<dim>-1</dim>
+				</port>
+				<port id="5" precision="U8">
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="7" name="Constant_657694" type="Const" version="opset1">
+			<data element_type="u8" shape="51" offset="492952" size="51" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>51</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="8" name="Constant_657696" type="Const" version="opset1">
+			<data element_type="u8" shape="2" offset="493003" size="2" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>2</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="9" name="RegexNormalization_657697" type="RegexNormalization" version="extension">
+			<data global_replace="true" />
+			<input>
+				<port id="0" precision="I32">
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>-1</dim>
+				</port>
+				<port id="2" precision="U8">
+					<dim>-1</dim>
+				</port>
+				<port id="3" precision="U8">
+					<dim>51</dim>
+				</port>
+				<port id="4" precision="U8">
+					<dim>2</dim>
+				</port>
+			</input>
+			<output>
+				<port id="5" precision="I32">
+					<dim>-1</dim>
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+				<port id="6" precision="I32">
+					<dim>-1</dim>
+				</port>
+				<port id="7" precision="U8">
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="10" name="StringTensorPack_657698" type="StringTensorPack" version="extension">
+			<data mode="begins_ends" />
+			<input>
+				<port id="0" precision="I32">
+					<dim>-1</dim>
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+				<port id="1" precision="I32">
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+				<port id="2" precision="U8">
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+				</port>
+			</input>
+			<output>
+				<port id="3" precision="STRING" names="string_output">
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="11" name="Result_657699" type="Result" version="opset1">
+			<input>
+				<port id="0" precision="STRING">
+					<dim>-1</dim>
+				</port>
+			</input>
+		</layer>
+	</layers>
+	<edges>
+		<edge from-layer="0" from-port="0" to-layer="1" to-port="0" />
+		<edge from-layer="1" from-port="1" to-layer="4" to-port="0" />
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+		<edge from-layer="5" from-port="4" to-layer="6" to-port="0" />
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+		<edge from-layer="9" from-port="6" to-layer="10" to-port="1" />
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+		<edge from-layer="10" from-port="3" to-layer="11" to-port="0" />
+	</edges>
+	<rt_info>
+		<add_attention_mask value="True" />
+		<add_prefix_space />
+		<add_special_tokens value="True" />
+		<bos_token_id value="0" />
+		<chat_template value="{%- if messages[0]['role'] == 'system' %}&#10;    {%- set system_message = messages[0]['content'] %}&#10;    {%- set loop_messages = messages[1:] %}&#10;{%- else %}&#10;    {%- set system_message = &quot;Knowledge Cutoff Date: April 2024.&#10;Today's Date: &quot; + strftime_now('%B %d, %Y') + &quot;.&#10;You are Granite, developed by IBM.&quot; %}&#10;    {%- if tools and documents %}&#10;        {%- set system_message = system_message + &quot; You are a helpful AI assistant with access to the following tools. When a tool is required to answer the user's query, respond with &lt;|tool_call|> followed by a JSON list of tools used. If a tool does not exist in the provided list of tools, notify the user that you do not have the ability to fulfill the request.&#10;&#10;Write the response to the user's input by strictly aligning with the facts in the provided documents. If the information needed to answer the question is not available in the documents, inform the user that the question cannot be answered based on the available data.&quot; %}&#10;    {%- elif tools %}&#10;        {%- set system_message = system_message + &quot; You are a helpful AI assistant with access to the following tools. When a tool is required to answer the user's query, respond with &lt;|tool_call|> followed by a JSON list of tools used. If a tool does not exist in the provided list of tools, notify the user that you do not have the ability to fulfill the request.&quot; %}&#10;    {%- elif documents %}&#10;        {%- set system_message = system_message + &quot; Write the response to the user's input by strictly aligning with the facts in the provided documents. If the information needed to answer the question is not available in the documents, inform the user that the question cannot be answered based on the available data.&quot; %}&#10;    {%- else %}&#10;        {%- set system_message = system_message + &quot; You are a helpful AI assistant.&quot; %}    &#10;    {%- endif %}&#10;    {%- if 'citations' in controls and documents %}&#10;        {%- set system_message = system_message + '&#10;&#10;In your response, use the symbols &lt;co> and &lt;/co> to indicate when a fact comes from a document in the search result, e.g &lt;co>0&lt;/co> for a fact from document 0. Afterwards, list all the citations with their corresponding documents in an ordered list.' %}&#10;    {%- endif %}&#10;    {%- if 'hallucinations' in controls and documents %}&#10;        {%- set system_message = system_message + '&#10;&#10;Finally, after the response is written, include a numbered list of sentences from the response that are potentially hallucinated and not based in the documents.' %}&#10;    {%- endif %}&#10;    {%- set loop_messages = messages %}&#10;{%- endif %}&#10;{{- '&lt;|start_of_role|>system&lt;|end_of_role|>' + system_message + '&lt;|end_of_text|>&#10;' }}&#10;{%- if tools %}&#10;    {{- '&lt;|start_of_role|>tools&lt;|end_of_role|>' }}&#10;    {{- tools | tojson(indent=4) }}&#10;    {{- '&lt;|end_of_text|>&#10;' }}&#10;{%- endif %}&#10;{%- if documents %}&#10;    {{- '&lt;|start_of_role|>documents&lt;|end_of_role|>' }}&#10;    {%- for document in documents %}&#10;        {{- 'Document ' + loop.index0 | string + '&#10;' }}&#10;        {{- document['text'] }}&#10;        {%- if not loop.last %}&#10;            {{- '&#10;&#10;'}}&#10;        {%- endif%}&#10;    {%- endfor %}&#10;    {{- '&lt;|end_of_text|>&#10;' }}&#10;{%- endif %}&#10;{%- for message in loop_messages %}&#10;    {{- '&lt;|start_of_role|>' + message['role'] + '&lt;|end_of_role|>' + message['content'] + '&lt;|end_of_text|>&#10;' }}&#10;    {%- if loop.last and add_generation_prompt %}&#10;        {{- '&lt;|start_of_role|>assistant' }}&#10;            {%- if controls %}&#10;                {{- ' ' + controls | tojson()}}&#10;            {%- endif %}&#10;        {{- '&lt;|end_of_role|>' }}&#10;    {%- endif %}&#10;{%- endfor %}" />
+		<clean_up_tokenization_spaces />
+		<detokenizer_input_type value="i64" />
+		<eos_token_id value="0" />
+		<handle_special_tokens_with_re />
+		<number_of_inputs value="1" />
+		<openvino_tokenizers_version value="2024.6.0.0" />
+		<openvino_version value="2024.6.0" />
+		<original_tokenizer_class value="&lt;class 'transformers.models.gpt2.tokenization_gpt2_fast.GPT2TokenizerFast'>" />
+		<pad_token_id value="0" />
+		<sentencepiece_version value="0.2.0" />
+		<skip_special_tokens value="True" />
+		<streaming_detokenizer value="False" />
+		<tiktoken_version value="0.7.0" />
+		<tokenizer_output_type value="i64" />
+		<tokenizers_version value="0.20.3" />
+		<transformers_version value="4.46.3" />
+		<use_max_padding value="False" />
+		<use_sentencepiece_backend value="False" />
+		<utf8_replace_mode value="replace" />
+		<with_detokenizer value="True" />
+	</rt_info>
+</net>

openvino_model.bin

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openvino_model.xml

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openvino_tokenizer.bin

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openvino_tokenizer.xml

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+<?xml version="1.0"?>
+<net name="tokenizer" version="11">
+	<layers>
+		<layer id="0" name="Parameter_657583" type="Parameter" version="opset1">
+			<data shape="?" element_type="string" />
+			<output>
+				<port id="0" precision="STRING" names="Parameter_657583">
+					<dim>-1</dim>
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+		</layer>
+		<layer id="1" name="Constant_657589" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="0" size="8" />
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="2" name="StringTensorUnpack_657584" type="StringTensorUnpack" version="extension">
+			<data mode="begins_ends" />
+			<input>
+				<port id="0" precision="STRING">
+					<dim>-1</dim>
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+				<port id="3" precision="U8">
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+				</port>
+			</output>
+		</layer>
+		<layer id="3" name="ShapeOf_657585" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
+			<input>
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+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4" name="Constant_657586" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="0" size="8" />
+			<output>
+				<port id="0" precision="I64" />
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+			<data element_type="i64" shape="" offset="0" size="8" />
+			<output>
+				<port id="0" precision="I64" />
+			</output>
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+		<layer id="6" name="Gather_657588" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="I64">
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+			<data element_type="i64" shape="" offset="8" size="8" />
+			<output>
+				<port id="0" precision="I64" />
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+		<layer id="8" name="Range_657591" type="Range" version="opset4">
+			<data output_type="i32" />
+			<input>
+				<port id="0" precision="I64" />
+				<port id="1" precision="I64" />
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+			<data element_type="i64" shape="" offset="8" size="8" />
+			<output>
+				<port id="0" precision="I64" />
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+			<output>
+				<port id="0" precision="I64" />
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+		<layer id="11" name="Add_657594" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="I64" />
+				<port id="1" precision="I64" />
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+		<edge from-layer="32" from-port="2" to-layer="34" to-port="0" />
+		<edge from-layer="33" from-port="0" to-layer="34" to-port="1" />
+		<edge from-layer="34" from-port="2" to-layer="36" to-port="3" />
+		<edge from-layer="35" from-port="0" to-layer="36" to-port="4" />
+		<edge from-layer="36" from-port="6" to-layer="37" to-port="0" />
+		<edge from-layer="36" from-port="5" to-layer="40" to-port="0" />
+		<edge from-layer="37" from-port="1" to-layer="38" to-port="0" />
+		<edge from-layer="38" from-port="1" to-layer="39" to-port="0" />
+		<edge from-layer="40" from-port="1" to-layer="41" to-port="0" />
+	</edges>
+	<rt_info>
+		<add_attention_mask value="True" />
+		<add_prefix_space />
+		<add_special_tokens value="True" />
+		<bos_token_id value="0" />
+		<chat_template value="{%- if messages[0]['role'] == 'system' %}&#10;    {%- set system_message = messages[0]['content'] %}&#10;    {%- set loop_messages = messages[1:] %}&#10;{%- else %}&#10;    {%- set system_message = &quot;Knowledge Cutoff Date: April 2024.&#10;Today's Date: &quot; + strftime_now('%B %d, %Y') + &quot;.&#10;You are Granite, developed by IBM.&quot; %}&#10;    {%- if tools and documents %}&#10;        {%- set system_message = system_message + &quot; You are a helpful AI assistant with access to the following tools. When a tool is required to answer the user's query, respond with &lt;|tool_call|> followed by a JSON list of tools used. If a tool does not exist in the provided list of tools, notify the user that you do not have the ability to fulfill the request.&#10;&#10;Write the response to the user's input by strictly aligning with the facts in the provided documents. If the information needed to answer the question is not available in the documents, inform the user that the question cannot be answered based on the available data.&quot; %}&#10;    {%- elif tools %}&#10;        {%- set system_message = system_message + &quot; You are a helpful AI assistant with access to the following tools. When a tool is required to answer the user's query, respond with &lt;|tool_call|> followed by a JSON list of tools used. If a tool does not exist in the provided list of tools, notify the user that you do not have the ability to fulfill the request.&quot; %}&#10;    {%- elif documents %}&#10;        {%- set system_message = system_message + &quot; Write the response to the user's input by strictly aligning with the facts in the provided documents. If the information needed to answer the question is not available in the documents, inform the user that the question cannot be answered based on the available data.&quot; %}&#10;    {%- else %}&#10;        {%- set system_message = system_message + &quot; You are a helpful AI assistant.&quot; %}    &#10;    {%- endif %}&#10;    {%- if 'citations' in controls and documents %}&#10;        {%- set system_message = system_message + '&#10;&#10;In your response, use the symbols &lt;co> and &lt;/co> to indicate when a fact comes from a document in the search result, e.g &lt;co>0&lt;/co> for a fact from document 0. Afterwards, list all the citations with their corresponding documents in an ordered list.' %}&#10;    {%- endif %}&#10;    {%- if 'hallucinations' in controls and documents %}&#10;        {%- set system_message = system_message + '&#10;&#10;Finally, after the response is written, include a numbered list of sentences from the response that are potentially hallucinated and not based in the documents.' %}&#10;    {%- endif %}&#10;    {%- set loop_messages = messages %}&#10;{%- endif %}&#10;{{- '&lt;|start_of_role|>system&lt;|end_of_role|>' + system_message + '&lt;|end_of_text|>&#10;' }}&#10;{%- if tools %}&#10;    {{- '&lt;|start_of_role|>tools&lt;|end_of_role|>' }}&#10;    {{- tools | tojson(indent=4) }}&#10;    {{- '&lt;|end_of_text|>&#10;' }}&#10;{%- endif %}&#10;{%- if documents %}&#10;    {{- '&lt;|start_of_role|>documents&lt;|end_of_role|>' }}&#10;    {%- for document in documents %}&#10;        {{- 'Document ' + loop.index0 | string + '&#10;' }}&#10;        {{- document['text'] }}&#10;        {%- if not loop.last %}&#10;            {{- '&#10;&#10;'}}&#10;        {%- endif%}&#10;    {%- endfor %}&#10;    {{- '&lt;|end_of_text|>&#10;' }}&#10;{%- endif %}&#10;{%- for message in loop_messages %}&#10;    {{- '&lt;|start_of_role|>' + message['role'] + '&lt;|end_of_role|>' + message['content'] + '&lt;|end_of_text|>&#10;' }}&#10;    {%- if loop.last and add_generation_prompt %}&#10;        {{- '&lt;|start_of_role|>assistant' }}&#10;            {%- if controls %}&#10;                {{- ' ' + controls | tojson()}}&#10;            {%- endif %}&#10;        {{- '&lt;|end_of_role|>' }}&#10;    {%- endif %}&#10;{%- endfor %}" />
+		<clean_up_tokenization_spaces />
+		<detokenizer_input_type value="i64" />
+		<eos_token_id value="0" />
+		<handle_special_tokens_with_re />
+		<number_of_inputs value="1" />
+		<openvino_tokenizers_version value="2024.6.0.0" />
+		<openvino_version value="2024.6.0" />
+		<original_tokenizer_class value="&lt;class 'transformers.models.gpt2.tokenization_gpt2_fast.GPT2TokenizerFast'>" />
+		<pad_token_id value="0" />
+		<sentencepiece_version value="0.2.0" />
+		<skip_special_tokens value="True" />
+		<streaming_detokenizer value="False" />
+		<tiktoken_version value="0.7.0" />
+		<tokenizer_output_type value="i64" />
+		<tokenizers_version value="0.20.3" />
+		<transformers_version value="4.46.3" />
+		<use_max_padding value="False" />
+		<use_sentencepiece_backend value="False" />
+		<utf8_replace_mode value="replace" />
+		<with_detokenizer value="True" />
+	</rt_info>
+</net>

special_tokens_map.json

@@ -0,0 +1,35 @@
+{
+  "additional_special_tokens": [
+    "<|start_of_role|>",
+    "<|end_of_role|>",
+    "<|tool_call|>"
+  ],
+  "bos_token": {
+    "content": "<|end_of_text|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "<|end_of_text|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "<|end_of_text|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "unk_token": {
+    "content": "<|end_of_text|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer_config.json

@@ -0,0 +1,199 @@
+{
+  "add_bos_token": false,
+  "add_prefix_space": false,
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<|end_of_text|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "1": {
+      "content": "<fim_prefix>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "2": {
+      "content": "<fim_middle>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "3": {
+      "content": "<fim_suffix>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "4": {
+      "content": "<fim_pad>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "5": {
+      "content": "<filename>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "6": {
+      "content": "<gh_stars>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "7": {
+      "content": "<issue_start>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "8": {
+      "content": "<issue_comment>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "9": {
+      "content": "<issue_closed>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "10": {
+      "content": "<jupyter_start>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "11": {
+      "content": "<jupyter_text>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "12": {
+      "content": "<jupyter_code>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "13": {
+      "content": "<jupyter_output>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "14": {
+      "content": "<empty_output>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "15": {
+      "content": "<commit_before>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "16": {
+      "content": "<commit_msg>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "17": {
+      "content": "<commit_after>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "18": {
+      "content": "<reponame>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "49152": {
+      "content": "<|start_of_role|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "49153": {
+      "content": "<|end_of_role|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "49154": {
+      "content": "<|tool_call|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "additional_special_tokens": [
+    "<|start_of_role|>",
+    "<|end_of_role|>",
+    "<|tool_call|>"
+  ],
+  "bos_token": "<|end_of_text|>",
+  "chat_template": "{%- if messages[0]['role'] == 'system' %}\n    {%- set system_message = messages[0]['content'] %}\n    {%- set loop_messages = messages[1:] %}\n{%- else %}\n    {%- set system_message = \"Knowledge Cutoff Date: April 2024.\nToday's Date: \" + strftime_now('%B %d, %Y') + \".\nYou are Granite, developed by IBM.\" %}\n    {%- if tools and documents %}\n        {%- set system_message = system_message + \" You are a helpful AI assistant with access to the following tools. When a tool is required to answer the user's query, respond with <|tool_call|> followed by a JSON list of tools used. If a tool does not exist in the provided list of tools, notify the user that you do not have the ability to fulfill the request.\n\nWrite the response to the user's input by strictly aligning with the facts in the provided documents. If the information needed to answer the question is not available in the documents, inform the user that the question cannot be answered based on the available data.\" %}\n    {%- elif tools %}\n        {%- set system_message = system_message + \" You are a helpful AI assistant with access to the following tools. When a tool is required to answer the user's query, respond with <|tool_call|> followed by a JSON list of tools used. If a tool does not exist in the provided list of tools, notify the user that you do not have the ability to fulfill the request.\" %}\n    {%- elif documents %}\n        {%- set system_message = system_message + \" Write the response to the user's input by strictly aligning with the facts in the provided documents. If the information needed to answer the question is not available in the documents, inform the user that the question cannot be answered based on the available data.\" %}\n    {%- else %}\n        {%- set system_message = system_message + \" You are a helpful AI assistant.\" %}    \n    {%- endif %}\n    {%- if 'citations' in controls and documents %}\n        {%- set system_message = system_message + '\n\nIn your response, use the symbols <co> and </co> to indicate when a fact comes from a document in the search result, e.g <co>0</co> for a fact from document 0. Afterwards, list all the citations with their corresponding documents in an ordered list.' %}\n    {%- endif %}\n    {%- if 'hallucinations' in controls and documents %}\n        {%- set system_message = system_message + '\n\nFinally, after the response is written, include a numbered list of sentences from the response that are potentially hallucinated and not based in the documents.' %}\n    {%- endif %}\n    {%- set loop_messages = messages %}\n{%- endif %}\n{{- '<|start_of_role|>system<|end_of_role|>' + system_message + '<|end_of_text|>\n' }}\n{%- if tools %}\n    {{- '<|start_of_role|>tools<|end_of_role|>' }}\n    {{- tools | tojson(indent=4) }}\n    {{- '<|end_of_text|>\n' }}\n{%- endif %}\n{%- if documents %}\n    {{- '<|start_of_role|>documents<|end_of_role|>' }}\n    {%- for document in documents %}\n        {{- 'Document ' + loop.index0 | string + '\n' }}\n        {{- document['text'] }}\n        {%- if not loop.last %}\n            {{- '\n\n'}}\n        {%- endif%}\n    {%- endfor %}\n    {{- '<|end_of_text|>\n' }}\n{%- endif %}\n{%- for message in loop_messages %}\n    {{- '<|start_of_role|>' + message['role'] + '<|end_of_role|>' + message['content'] + '<|end_of_text|>\n' }}\n    {%- if loop.last and add_generation_prompt %}\n        {{- '<|start_of_role|>assistant' }}\n            {%- if controls %}\n                {{- ' ' + controls | tojson()}}\n            {%- endif %}\n        {{- '<|end_of_role|>' }}\n    {%- endif %}\n{%- endfor %}",
+  "clean_up_tokenization_spaces": true,
+  "eos_token": "<|end_of_text|>",
+  "errors": "replace",
+  "extra_special_tokens": {},
+  "model_max_length": 9223372036854775807,
+  "pad_token": "<|end_of_text|>",
+  "padding_side": "left",
+  "tokenizer_class": "GPT2Tokenizer",
+  "unk_token": "<|end_of_text|>",
+  "vocab_size": 49152
+}