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chat_template.jinja

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+{# --- System Prompt Handling --- #}
+{%- if messages and messages[0]['role'] == 'system' %}
+  {%- set remaining_messages = messages[1:] %}
+{%- else %}
+  {%- set remaining_messages = messages %}
+{%- endif %}
+
+{%- if tools %}
+{{- '<|im_start|>system\n' }}
+  {%- if messages[0].role == 'system' %}
+    {{- messages[0].content + '\n' }}
+  {%- endif %}
+# Tools
+You may call one or more functions to assist with the user query. You are provided with function signatures within <tools></tools> XML tags.
+<tools>
+{%- for tool in tools %}
+{{- "" }}
+{{ tool | tojson }}
+{%- endfor %}
+{{- "" }}
+</tools>
+For each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:
+<tool_call>
+{"name": <function-name>, "arguments": <args-json-object>}
+</tool_call>
+{{- '<|im_end|>\n' }}
+{%- else %}
+    {%- if messages[0].role == 'system' %}
+        {{- '<|im_start|>system\n' + messages[0].content + '<|im_end|>\n' }}
+    {%- endif %}
+{%- endif %}
+
+{# --- Render remaining messages --- #}
+{%- for message in remaining_messages %}
+  {%- if message['role'] == 'user' %}
+    {{- '<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>\n' }}
+  {%- elif message['role'] == 'assistant' %}
+    {{- '<|im_start|>' + message['role'] +'\n' }}
+    {%- if message.get('content','') %}
+        {{- message['content'] + '\n' }}
+    {%- endif %}
+    {%- if tools and message.tool_calls %}
+      {%- for tool_call in message.tool_calls %}
+          {%- if tool_call.function is defined %}
+              {%- set tool_call = tool_call.function %}
+          {%- endif %}
+          {{-'<tool_call>\n' }}
+          {{- '{"name": "'+ tool_call.name + '", "arguments":' }}
+          {%- if tool_call.arguments is string -%}
+          {{ tool_call.arguments }}
+          {%- else -%}
+          {{ tool_call.arguments | tojson }}
+          {%- endif -%}
+          {{- '}' }}
+          {{- '\n</tool_call>\n' }}
+      {%- endfor %}
+    {%- endif %}
+    {%- if not loop.last %}
+      {{- '<|im_end|>' + '\n' }}
+    {%- else %}
+      {{- '<|im_end|>' }}
+    {%- endif %}
+  {%- elif message['role'] == 'tool' %}
+    {# Tool responses treated as user messages #}
+    {%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != "tool") %}
+        {{- '<|im_start|>user' }}
+    {%- endif %}
+    {{- '\n<tool_response>\n' + message['content'] + '\n</tool_response>' }}
+    {%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
+        {{- '<|im_end|>\n' }}
+    {%- endif %}
+  {%- endif %}
+  {# --- Add generation prompt after last message if requested --- #}
+  {%- if loop.last and add_generation_prompt %}
+    {{- '<|im_start|>assistant\n' }}
+  {%- endif %}
+{%- endfor %}

config.json

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+{
+  "architectures": [
+    "FalconH1ForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "attention_in_multiplier": 1.0,
+  "attention_out_multiplier": 1.0,
+  "attn_layer_indices": null,
+  "bos_token_id": 1,
+  "dtype": "bfloat16",
+  "embedding_multiplier": 0.11083984375,
+  "eos_token_id": 11,
+  "expansion_factor": 1.5,
+  "head_dim": 64,
+  "hidden_act": "silu",
+  "hidden_size": 512,
+  "initializer_range": 0.02,
+  "intermediate_size": 768,
+  "key_multiplier": 1.0,
+  "lm_head_multiplier": 0.078125,
+  "mamba_chunk_size": 128,
+  "mamba_conv_bias": true,
+  "mamba_d_conv": 4,
+  "mamba_d_head": 32,
+  "mamba_d_ssm": 768,
+  "mamba_d_state": 64,
+  "mamba_expand": 2,
+  "mamba_n_groups": 1,
+  "mamba_n_heads": 24,
+  "mamba_norm_before_gate": false,
+  "mamba_proj_bias": false,
+  "mamba_rms_norm": false,
+  "mamba_use_mlp": true,
+  "max_position_embeddings": 262144,
+  "mlp_bias": false,
+  "mlp_expansion_factor": 8,
+  "mlp_multipliers": [
+    1.0,
+    1.0
+  ],
+  "model_type": "falcon_h1",
+  "num_attention_heads": 8,
+  "num_hidden_layers": 24,
+  "num_key_value_heads": 2,
+  "num_logits_to_keep": 1,
+  "pad_token_id": 0,
+  "projectors_bias": false,
+  "rms_norm_eps": 1e-05,
+  "rope_parameters": {
+    "rope_theta": 100000000000.0,
+    "rope_type": "default"
+  },
+  "sliding_window": null,
+  "ssm_in_multiplier": 1.0,
+  "ssm_multipliers": [
+    1.0,
+    1.0,
+    1.0,
+    1.0,
+    1.0
+  ],
+  "ssm_out_multiplier": 1.0,
+  "tie_word_embeddings": true,
+  "time_step_floor": 0.0001,
+  "time_step_limit": [
+    0.0,
+    {
+      "__float__": "Infinity"
+    }
+  ],
+  "time_step_max": 0.1,
+  "time_step_min": 0.001,
+  "time_step_rank": "auto",
+  "transformers_version": "5.14.1",
+  "use_cache": false,
+  "vocab_size": 32768
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 1,
+  "eos_token_id": [
+    228,
+    11
+  ],
+  "pad_token_id": 0,
+  "transformers_version": "5.14.1"
+}

merge_config.json

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+{
+  "reference": "/home/ventu/benchmark_results/overpowered-final-20260802/merges/kl20-selective-late8/model",
+  "tuned": "/home/ventu/benchmark_results/overpowered-final-20260802/training/usage-weighted-lora-v1/merged",
+  "anchor": "/home/ventu/benchmark_results/overpowered-final-20260802/merges/kl20-selective-late8/model",
+  "alpha": 0.75,
+  "prefixes": [],
+  "contains": [],
+  "match_all": false,
+  "formula": "anchor + alpha * (tuned - reference)"
+}

model.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:69de6ed0c1e4c92429715a513fef232dd9e01f71cad3c81815a29f8458a85829
+size 182304120

special_tokens_map.json

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+{
+  "additional_special_tokens": [
+    "<|pad|>",
+    ">>ABSTRACT<<",
+    ">>INTRODUCTION<<",
+    ">>SUMMARY<<",
+    ">>COMMENT<<",
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+    ">>QUESTION<<",
+    ">>DOMAIN<<",
+    ">>PREFIX<<",
+    ">>SUFFIX<<",
+    ">>MIDDLE<<",
+    "<|finetune_right_pad_id|>",
+    "<|start_header_id|>",
+    "<|end_header_id|>",
+    "<|eom_id|>",
+    "<|eot_id|>",
+    "<|begin_of_text|>",
+    ">>TITLE<<",
+    "<tool_response>",
+    "</tool_response>",
+    "<tool_call>",
+    "</tool_call>",
+    "<schema>",
+    "</schema>",
+    "<scratch_pad>",
+    "</scratch_pad>",
+    "<think>",
+    "</think>",
+    "<explanation>",
+    "</explanation>",
+    "<file_sep>",
+    "<repo_name>",
+    "<|im_end|>",
+    "<|im_start|>",
+    ">>UNUSED_119<<",
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+    "<|system|>",
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+}