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.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
+bagel.png filter=lfs diff=lfs merge=lfs -text

README.md

@@ -1,3 +1,170 @@
 ---
+tags:
+- finetuned
+- quantized
+- 4-bit
+- AWQ
+- transformers
+- pytorch
+- mistral
+- instruct
+- text-generation
+- conversational
+- license:apache-2.0
+- autotrain_compatible
+- endpoints_compatible
+- text-generation-inference
+- region:us
+- finetune
+- chatml
+- DPO
+- RLHF
+- gpt4
+- synthetic data
+- distillation
 license: apache-2.0
+base_model: mistralai/mistral-7b-v0.1
+datasets:
+- ai2_arc
+- allenai/ultrafeedback_binarized_cleaned
+- argilla/distilabel-intel-orca-dpo-pairs
+- jondurbin/airoboros-3.2
+- codeparrot/apps
+- facebook/belebele
+- bluemoon-fandom-1-1-rp-cleaned
+- boolq
+- camel-ai/biology
+- camel-ai/chemistry
+- camel-ai/math
+- camel-ai/physics
+- jondurbin/contextual-dpo-v0.1
+- jondurbin/gutenberg-dpo-v0.1
+- jondurbin/py-dpo-v0.1
+- jondurbin/truthy-dpo-v0.1
+- LDJnr/Capybara
+- jondurbin/cinematika-v0.1
+- WizardLM/WizardLM_evol_instruct_70k
+- glaiveai/glaive-function-calling-v2
+- jondurbin/gutenberg-dpo-v0.1
+- grimulkan/LimaRP-augmented
+- lmsys/lmsys-chat-1m
+- ParisNeo/lollms_aware_dataset
+- TIGER-Lab/MathInstruct
+- Muennighoff/natural-instructions
+- openbookqa
+- kingbri/PIPPA-shareGPT
+- piqa
+- Vezora/Tested-22k-Python-Alpaca
+- ropes
+- cakiki/rosetta-code
+- Open-Orca/SlimOrca
+- b-mc2/sql-create-context
+- squad_v2
+- mattpscott/airoboros-summarization
+- migtissera/Synthia-v1.3
+- unalignment/toxic-dpo-v0.2
+- WhiteRabbitNeo/WRN-Chapter-1
+- WhiteRabbitNeo/WRN-Chapter-2
+- winogrande
+language:
+  - en
+quantized_by: Suparious
+pipeline_tag: text-generation
+model_creator: jondurbin
+model_name: bagel 7B v0.4 DPO
+inference: false
+prompt_template: '{bos}<|im_start|>{role}
+
+{text}
+
+<|im_end|>{eos}
+'
 ---
+
+# A bagel, with everything
+
+- Model creator: [jondurbin](https://huggingface.co/jondurbin)
+- Original model: [OpenHermes Mistral 2.5 7B DPO](https://huggingface.co/jondurbin/bagel-dpo-7b-v0.4)
+
+![bagel](bagel.png)
+
+## Model Description
+
+This is a fine-tune of mistral-7b-v0.1, which underwent additional fine-tuning using direct preference optimization (DPO).
+
+See [bagel](https://github.com/jondurbin/bagel) for additional details on the datasets.
+
+The non-DPO version is available [here](https://huggingface.co/jondurbin/bagel-dpo-7b-v0.4), and is likely superior for roleplay.
+
+Compute generously provided by [MassedCompute](https://massedcompute.com/?utm_source=huggingface&utm_creative_format=model_card&utm_content=creator_jon)
+
+## How to use
+
+### Install the necessary packages
+
+```bash
+pip install --upgrade autoawq autoawq-kernels
+```
+
+### Example Python code
+
+```python
+from awq import AutoAWQForCausalLM
+from transformers import AutoTokenizer, TextStreamer
+
+model_path = "solidrust/bagel-dpo-7b-v0.4-AWQ"
+system_message = "You are Hermes, incarnated a powerful AI."
+
+# Load model
+model = AutoAWQForCausalLM.from_quantized(model_path,
+                                          fuse_layers=True)
+tokenizer = AutoTokenizer.from_pretrained(model_path,
+                                          trust_remote_code=True)
+streamer = TextStreamer(tokenizer,
+                        skip_prompt=True,
+                        skip_special_tokens=True)
+
+# Convert prompt to tokens
+prompt_template = """\
+<|im_start|>system
+{system_message}<|im_end|>
+<|im_start|>user
+{prompt}<|im_end|>
+<|im_start|>assistant"""
+
+prompt = "You're standing on the surface of the Earth. "\
+        "You walk one mile south, one mile west and one mile north. "\
+        "You end up exactly where you started. Where are you?"
+
+tokens = tokenizer(prompt_template.format(system_message=system_message,prompt=prompt),
+                  return_tensors='pt').input_ids.cuda()
+
+# Generate output
+generation_output = model.generate(tokens,
+                                  streamer=streamer,
+                                  max_new_tokens=512)
+```
+
+### About AWQ
+
+AWQ is an efficient, accurate and blazing-fast low-bit weight quantization method, currently supporting 4-bit quantization. Compared to GPTQ, it offers faster Transformers-based inference with equivalent or better quality compared to the most commonly used GPTQ settings.
+
+AWQ models are currently supported on Linux and Windows, with NVidia GPUs only. macOS users: please use GGUF models instead.
+
+It is supported by:
+
+- [Text Generation Webui](https://github.com/oobabooga/text-generation-webui) - using Loader: AutoAWQ
+- [vLLM](https://github.com/vllm-project/vllm) - version 0.2.2 or later for support for all model types.
+- [Hugging Face Text Generation Inference (TGI)](https://github.com/huggingface/text-generation-inference)
+- [Transformers](https://huggingface.co/docs/transformers) version 4.35.0 and later, from any code or client that supports Transformers
+- [AutoAWQ](https://github.com/casper-hansen/AutoAWQ) - for use from Python code
+
+## Prompt template: ChatML
+
+```plaintext
+<|im_start|>system
+{system_message}<|im_end|>
+<|im_start|>user
+{prompt}<|im_end|>
+<|im_start|>assistant
+```

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config.json

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+  "architectures": [
+    "MistralForCausalLM"
+  ],
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+  "num_key_value_heads": 8,
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+  "tie_word_embeddings": false,
+  "torch_dtype": "float16",
+  "transformers_version": "4.38.1",
+  "use_cache": false,
+  "vocab_size": 32064
+}

generation_config.json

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+  "transformers_version": "4.38.1"
+}

special_tokens_map.json

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+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32040": {
+      "content": "<|special_38|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32041": {
+      "content": "<|special_39|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32042": {
+      "content": "<|special_40|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32043": {
+      "content": "<|special_41|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32044": {
+      "content": "<|special_42|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32045": {
+      "content": "<|special_43|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32046": {
+      "content": "<|special_44|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32047": {
+      "content": "<|special_45|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32048": {
+      "content": "<|special_46|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32049": {
+      "content": "<|special_47|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32050": {
+      "content": "<|special_48|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32051": {
+      "content": "<|special_49|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32052": {
+      "content": "<|special_50|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32053": {
+      "content": "<|special_51|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32054": {
+      "content": "<|special_52|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32055": {
+      "content": "<|special_53|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32056": {
+      "content": "<|special_54|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32057": {
+      "content": "<|special_55|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32058": {
+      "content": "<|special_56|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32059": {
+      "content": "<|special_57|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32060": {
+      "content": "<|special_58|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32061": {
+      "content": "<|special_59|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32062": {
+      "content": "<|special_60|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32063": {
+      "content": "<|special_61|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "additional_special_tokens": [
+    "<|im_start|>",
+    "<|im_end|>",
+    "<|special_0|>",
+    "<|special_1|>",
+    "<|special_2|>",
+    "<|special_3|>",
+    "<|special_4|>",
+    "<|special_5|>",
+    "<|special_6|>",
+    "<|special_7|>",
+    "<|special_8|>",
+    "<|special_9|>",
+    "<|special_10|>",
+    "<|special_11|>",
+    "<|special_12|>",
+    "<|special_13|>",
+    "<|special_14|>",
+    "<|special_15|>",
+    "<|special_16|>",
+    "<|special_17|>",
+    "<|special_18|>",
+    "<|special_19|>",
+    "<|special_20|>",
+    "<|special_21|>",
+    "<|special_22|>",
+    "<|special_23|>",
+    "<|special_24|>",
+    "<|special_25|>",
+    "<|special_26|>",
+    "<|special_27|>",
+    "<|special_28|>",
+    "<|special_29|>",
+    "<|special_30|>",
+    "<|special_31|>",
+    "<|special_32|>",
+    "<|special_33|>",
+    "<|special_34|>",
+    "<|special_35|>",
+    "<|special_36|>",
+    "<|special_37|>",
+    "<|special_38|>",
+    "<|special_39|>",
+    "<|special_40|>",
+    "<|special_41|>",
+    "<|special_42|>",
+    "<|special_43|>",
+    "<|special_44|>",
+    "<|special_45|>",
+    "<|special_46|>",
+    "<|special_47|>",
+    "<|special_48|>",
+    "<|special_49|>",
+    "<|special_50|>",
+    "<|special_51|>",
+    "<|special_52|>",
+    "<|special_53|>",
+    "<|special_54|>",
+    "<|special_55|>",
+    "<|special_56|>",
+    "<|special_57|>",
+    "<|special_58|>",
+    "<|special_59|>",
+    "<|special_60|>",
+    "<|special_61|>"
+  ],
+  "bos_token": "<s>",
+  "chat_template": "{%- for idx in range(0, messages|length) -%}\n{%- if messages[idx]['role'] == 'user' -%}\n{%- if idx == 0 -%}\n{{- bos_token + '[INST] <<SYS>>\\nYou are a helpful, unbiased, uncensored assistant.\\n<</SYS>>\\n\\n' + messages[idx]['content'] + ' [/INST]' -}}\n{%- else -%}\n{{- bos_token + '[INST] ' + messages[idx]['content'] + ' [/INST]' -}}\n{%- endif -%}\n{% elif messages[idx]['role'] == 'system' %}\n{{- '[INST] <<SYS>>\\n' + messages[idx]['content'] + '\\n<</SYS>>\\n\\n' -}}\n{%- elif messages[idx]['role'] == 'assistant' -%}\n{{- messages[idx]['content'] + ' ' + eos_token -}}\n{% endif %}\n{% endfor %}",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "</s>",
+  "legacy": true,
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": "<unk>",
+  "padding_side": "right",
+  "sp_model_kwargs": {},
+  "spaces_between_special_tokens": false,
+  "tokenizer_class": "LlamaTokenizer",
+  "unk_token": "<unk>",
+  "use_default_system_prompt": false
+}