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Model: breitburg/pure-reasoning-7b-230726
Source: Original Platform

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README.md

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+---
+base_model: breitburg/pure-7b-210726
+tags:
+- text-generation-inference
+- transformers
+- unsloth
+- llama
+- reasoning
+- chain-of-thought
+license: apache-2.0
+language:
+- en
+---
+
+# pure-reasoning-7b-230726
+
+A reasoning ("thinking") fine-tune of [breitburg/pure-7b-210726](https://huggingface.co/breitburg/pure-7b-210726).
+Given a chat prompt it first produces a `<think>...</think>` reasoning block, then commits to an
+answer, and stops on `<|im_end|>`.
+
+- **Developed by:** breitburg
+- **License:** apache-2.0
+- **Finetuned from:** breitburg/pure-7b-210726
+- **Dataset:** [breitburg/reasonable-chats](https://huggingface.co/datasets/breitburg/reasonable-chats)
+- **Date:** 23 July 2026
+- **Method:** LoRA SFT (Unsloth + TRL). Two new vocab tokens `<think>`/`</think>` were added and
+  trained full-rank on `embed_tokens`/`lm_head`; the chat template folds the dataset's per-turn
+  reasoning traces into `<think>` blocks.
+
+## Usage
+
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+tok = AutoTokenizer.from_pretrained("breitburg/pure-reasoning-7b-230726")
+model = AutoModelForCausalLM.from_pretrained("breitburg/pure-reasoning-7b-230726", device_map="cuda")
+
+msgs = [{"role": "user", "content": "What causes the seasons on Earth?"}]
+inputs = tok.apply_chat_template(msgs, add_generation_prompt=True, return_tensors="pt").to("cuda")
+out = model.generate(inputs, max_new_tokens=300)
+print(tok.decode(out[0][inputs.shape[1]:], skip_special_tokens=False))
+```
+
+Trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth).

chat_template.jinja

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+{%- set ns = namespace(expected='user') -%}
+{%- for message in messages -%}
+{%- set role = 'model' if message['role'] == 'assistant' else message['role'] -%}
+{%- if role == 'system' -%}
+{%- if not loop.first -%}
+{{- raise_exception("System message, if present, must be first.") -}}
+{%- endif -%}
+{{- '<|im_start|>system\n' + message['content'] + '<|im_end|>\n' -}}
+{%- else -%}
+{%- if role not in ['user', 'model'] -%}
+{{- raise_exception("Only 'system', 'user' and 'model' (or 'assistant') roles are allowed, got: " + message['role']) -}}
+{%- endif -%}
+{%- if role != ns.expected -%}
+{{- raise_exception("user/model must alternate starting with user; expected " + ns.expected + ", got " + role) -}}
+{%- endif -%}
+{%- set ns.expected = 'model' if role == 'user' else 'user' -%}
+{%- if role == 'model' and 'reasoning' in message and message['reasoning'] -%}
+{{- '<|im_start|>model\n<think>\n' + message['reasoning'] + '\n</think>\n' + message['content'] + '<|im_end|>\n' -}}
+{%- else -%}
+{{- '<|im_start|>' + role + '\n' + message['content'] + '<|im_end|>\n' -}}
+{%- endif -%}
+{%- endif -%}
+{%- endfor -%}
+{%- if add_generation_prompt -%}
+{{- '<|im_start|>model\n' -}}
+{%- endif -%}

config.json

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+{
+    "architectures": [
+        "LlamaForCausalLM"
+    ],
+    "attention_bias": false,
+    "attention_dropout": 0.0,
+    "bos_token_id": 1,
+    "torch_dtype": "bfloat16",
+    "eos_token_id": 32001,
+    "head_dim": 128,
+    "hidden_act": "silu",
+    "hidden_size": 4096,
+    "initializer_range": 0.02,
+    "intermediate_size": 11008,
+    "max_position_embeddings": 2048,
+    "max_sequence_length": 2048,
+    "mlp_bias": false,
+    "model_type": "llama",
+    "num_attention_heads": 32,
+    "num_hidden_layers": 32,
+    "num_key_value_heads": 32,
+    "pad_token_id": 0,
+    "pretraining_tp": 1,
+    "rms_norm_eps": 1e-06,
+    "rope_parameters": {
+        "rope_theta": 10000.0,
+        "rope_type": "default"
+    },
+    "tie_word_embeddings": false,
+    "unsloth_version": "2026.7.5",
+    "use_cache": true,
+    "vocab_size": 32004
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 1,
+  "eos_token_id": [
+    32001
+  ],
+  "max_length": 2048,
+  "pad_token_id": 0,
+  "transformers_version": "5.5.0"
+}

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+}

tokenizer_config.json

@@ -0,0 +1,75 @@
+{
+  "add_prefix_space": null,
+  "backend": "tokenizers",
+  "bos_token": "<s>",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|im_end|>",
+  "from_slow": true,
+  "is_local": false,
+  "model_max_length": 2048,
+  "pad_token": "<unk>",
+  "padding_side": "left",
+  "sp_model_kwargs": {},
+  "tokenizer_class": "LlamaTokenizer",
+  "unk_token": "<unk>",
+  "use_default_system_prompt": false,
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<unk>",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": false,
+      "special": true
+    },
+    "1": {
+      "content": "<s>",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": true,
+      "special": true
+    },
+    "2": {
+      "content": "</s>",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": true,
+      "special": true
+    },
+    "32000": {
+      "content": "<|im_start|>",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": true,
+      "special": false
+    },
+    "32001": {
+      "content": "<|im_end|>",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": true,
+      "special": true
+    },
+    "32002": {
+      "content": "<think>",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": true,
+      "special": false
+    },
+    "32003": {
+      "content": "</think>",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": true,
+      "special": false
+    }
+  },
+  "chat_template": "{%- set ns = namespace(expected='user') -%}\n{%- for message in messages -%}\n{%- set role = 'model' if message['role'] == 'assistant' else message['role'] -%}\n{%- if role == 'system' -%}\n{%- if not loop.first -%}\n{{- raise_exception(\"System message, if present, must be first.\") -}}\n{%- endif -%}\n{{- '<|im_start|>system\\n' + message['content'] + '<|im_end|>\\n' -}}\n{%- else -%}\n{%- if role not in ['user', 'model'] -%}\n{{- raise_exception(\"Only 'system', 'user' and 'model' (or 'assistant') roles are allowed, got: \" + message['role']) -}}\n{%- endif -%}\n{%- if role != ns.expected -%}\n{{- raise_exception(\"user/model must alternate starting with user; expected \" + ns.expected + \", got \" + role) -}}\n{%- endif -%}\n{%- set ns.expected = 'model' if role == 'user' else 'user' -%}\n{%- if role == 'model' and 'reasoning' in message and message['reasoning'] -%}\n{{- '<|im_start|>model\\n<think>\\n' + message['reasoning'] + '\\n</think>\\n' + message['content'] + '<|im_end|>\\n' -}}\n{%- else -%}\n{{- '<|im_start|>' + role + '\\n' + message['content'] + '<|im_end|>\\n' -}}\n{%- endif -%}\n{%- endif -%}\n{%- endfor -%}\n{%- if add_generation_prompt -%}\n{{- '<|im_start|>model\\n' -}}\n{%- endif -%}\n"
+}