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Model: alexithymi1a/comma-qlora-it-f16
Source: Original Platform

.gitattributes

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README.md

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+---
+tags:
+- text-generation-inference
+- transformers
+- unsloth
+- llama
+datasets:
+- CohereLabs/aya_dataset
+- databricks/databricks-dolly-15k
+- OpenAssistant/oasst1
+- HuggingFaceH4/no_robots
+language:
+- en
+base_model:
+- common-pile/comma-v0.1-2t
+- dianab1729/Ada-1
+---
+
+# Model Card for Comma-QLoRa-IT
+
+QLora instruction fine-tuning on Common-Pile's Comma-v0.1-2T model. The goal is to make a usable assistant while maintaining the goal of not using stolen data.
+
+dianab1729/Ada-1 (which was already SFT'd on no-robots) was used as a base to skip a step. 
+
+- SFT on The human authored, english part from CohereLabs/aya_dataset
+- SFT on databricks/databricks-dolly-15k
+- DPO on OpenAssistant/oasst1
+
+All QLoRA. 
+It ain't much, but it's honest work. :)
+
+Planning on making a much better version of this, I'm just learning on this rn.
+
+# Uploaded finetuned  model
+- **Finetuned from model :** dianab1729/Ada-1
+
+This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
+
+[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)

chat_template.jinja

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+{% for message in messages %}{{'<|im_start|>' + message['role'] + '
+' + message['content'] + '<|im_end|>
+'}}{% endfor %}{% if add_generation_prompt %}{{'<|im_start|>assistant
+'}}{% endif %}

config.json

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+{
+    "architectures": [
+        "LlamaForCausalLM"
+    ],
+    "attention_bias": false,
+    "attention_dropout": 0.0,
+    "bos_token_id": 1,
+    "torch_dtype": "float16",
+    "eos_token_id": 2,
+    "head_dim": 128,
+    "hidden_act": "silu",
+    "hidden_size": 4096,
+    "initializer_range": 0.02,
+    "intermediate_size": 11008,
+    "max_position_embeddings": 16384,
+    "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-05,
+    "rope_parameters": {
+        "rope_theta": 100000.0,
+        "rope_type": "default"
+    },
+    "tie_word_embeddings": false,
+    "unsloth_version": "2026.6.2",
+    "use_cache": false,
+    "vocab_size": 64002
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "max_length": 16384,
+  "pad_token_id": 0,
+  "transformers_version": "5.5.0"
+}

model.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:9a1c808dbc6d217d3cb5d07ea3131200b7337a06e98ce83ae70776d894ea6340
+size 14001186040

tokenizer_config.json

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+{
+  "backend": "tokenizers",
+  "bos_token": "<|begin_of_text|>",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|end_of_text|>",
+  "extra_special_tokens": [],
+  "is_local": false,
+  "local_files_only": false,
+  "model_max_length": 16384,
+  "pad_token": "<pad>",
+  "padding_side": "right",
+  "tokenizer_class": "TokenizersBackend",
+  "unk_token": "<unk>",
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<pad>",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": false,
+      "special": true
+    },
+    "1": {
+      "content": "<unk>",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": false,
+      "special": true
+    },
+    "2": {
+      "content": "<|begin_of_text|>",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": false,
+      "special": true
+    },
+    "3": {
+      "content": "<|end_of_text|>",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": false,
+      "special": true
+    },
+    "64000": {
+      "content": "<|im_start|>",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": false,
+      "special": true
+    },
+    "64001": {
+      "content": "<|im_end|>",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": false,
+      "special": true
+    }
+  },
+  "chat_template": "{% for message in messages %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>\n'}}{% endfor %}{% if add_generation_prompt %}{{'<|im_start|>assistant\n'}}{% endif %}"
+}