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macadeliccc
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SOLAR-10.7b-Instruct-truthy-dpo-exlv2

Text Generation
Transformers
Safetensors
mistral
Inference Endpoints
text-generation-inference
Model card Files Community
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  1. README.md +139 -0
  2. config.json +28 -0
  3. generation_config.json +7 -0
  4. model.safetensors.index.json +298 -0
  5. output.safetensors +3 -0
  6. special_tokens_map.json +35 -0
  7. tokenizer.json +0 -0
  8. tokenizer.model +3 -0
  9. tokenizer_config.json +47 -0
README.md ADDED
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+ ---
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+ library_name: transformers
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+ datasets:
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+ - argilla/distilabel-capybara-dpo-7k-binarized
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+ ---
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+ # CapyLake-7B-v2-laser
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+
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+ This model is a finetune of [cognitivecomputations/WestLake-7B-v2-Laser](https://huggingface.co/cognitivecomputations/WestLake-7B-v2-laser) on [argilla/distilabel-capybara-dpo-7k-binarized](https://huggingface.co/datasets/argilla/distilabel-capybara-dpo-7k-binarized)
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+
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+ <div align="center">
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+
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+ ![image/webp](https://cdn-uploads.huggingface.co/production/uploads/6455cc8d679315e4ef16fbec/kx2uwS_kZ-rTAJiusSrAW.webp)
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+
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+ [<img src="https://raw.githubusercontent.com/argilla-io/distilabel/main/docs/assets/distilabel-badge-dark.png" alt="Built with Distilabel" width="200" height="32"/>](https://github.com/argilla-io/distilabel)
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+
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+ </div>
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+
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+ ## Process
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+
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+ + Realigned the chat template to ChatML
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+ + Completed 1 Epoch
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+ + 5e-05 learning rate
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+ + Training time was about 2 hours on 1 H100
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+ + Cost was ~$8
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+
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+ ## Code Example
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+
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+ ```python
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+ from transformers import AutoModelForCausalLM, AutoTokenizer
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+
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+ model_id = "macadeliccc/CapyLake-7B-v2-laser"
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+ tokenizer = AutoTokenizer.from_pretrained(model_id)
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+ model = AutoModelForCausalLM.from_pretrained(model_id)
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+
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+ text = "Create an idea for a TV show and write a short pilot script"
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+ inputs = tokenizer(text, return_tensors="pt")
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+
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+ # Adding hyperparameters to the generation call
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+ outputs = model.generate(
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+ **inputs,
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+ max_new_tokens=4096, # Controls the maximum length of the new tokens created
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+ temperature=0.7, # Adjust for creativity (lower is less random)
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+ top_k=50, # Keeps the top k tokens for sampling
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+ top_p=0.95, # Uses nucleus sampling with this cumulative probability
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+ num_return_sequences=1, # Number of sequences to generate
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+ no_repeat_ngram_size=2, # Prevents repeating n-grams to ensure diversity
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+ early_stopping=True # Stops generation when all sequences reach the EOS token
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+ )
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+
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+ print(tokenizer.decode(outputs[0], skip_special_tokens=True))
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+ ```
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+
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+ ## Other Capy Models
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+
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+ SOLAR-10.7B-Capy-v1.0 is also on the way. There could be more depending on performance!
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+
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+ ## Evaluations
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+
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+ | Model |AGIEval|GPT4All|TruthfulQA|Bigbench|Average|
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+ |-------------------------------------------------------------------------------|------:|------:|---------:|-------:|------:|
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+ |[CapyLake-7B-v2-laser](https://huggingface.co/macadeliccc/CapyLake-7B-v2-laser)| 44.34| 77.77| 68.47| 47.92| 59.62|
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+
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+ ### AGIEval
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+ | Task |Version| Metric |Value| |Stderr|
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+ |------------------------------|------:|--------|----:|---|-----:|
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+ |agieval_aqua_rat | 0|acc |28.35|± | 2.83|
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+ | | |acc_norm|25.98|± | 2.76|
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+ |agieval_logiqa_en | 0|acc |38.86|± | 1.91|
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+ | | |acc_norm|39.02|± | 1.91|
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+ |agieval_lsat_ar | 0|acc |25.22|± | 2.87|
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+ | | |acc_norm|24.35|± | 2.84|
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+ |agieval_lsat_lr | 0|acc |50.39|± | 2.22|
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+ | | |acc_norm|51.57|± | 2.22|
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+ |agieval_lsat_rc | 0|acc |65.06|± | 2.91|
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+ | | |acc_norm|63.94|± | 2.93|
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+ |agieval_sat_en | 0|acc |78.64|± | 2.86|
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+ | | |acc_norm|78.64|± | 2.86|
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+ |agieval_sat_en_without_passage| 0|acc |40.78|± | 3.43|
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+ | | |acc_norm|40.78|± | 3.43|
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+ |agieval_sat_math | 0|acc |33.64|± | 3.19|
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+ | | |acc_norm|30.45|± | 3.11|
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+
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+ Average: 44.34%
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+
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+ ### GPT4All
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+ | Task |Version| Metric |Value| |Stderr|
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+ |-------------|------:|--------|----:|---|-----:|
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+ |arc_challenge| 0|acc |66.89|± | 1.38|
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+ | | |acc_norm|67.49|± | 1.37|
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+ |arc_easy | 0|acc |86.70|± | 0.70|
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+ | | |acc_norm|81.90|± | 0.79|
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+ |boolq | 1|acc |88.10|± | 0.57|
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+ |hellaswag | 0|acc |71.45|± | 0.45|
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+ | | |acc_norm|87.78|± | 0.33|
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+ |openbookqa | 0|acc |39.80|± | 2.19|
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+ | | |acc_norm|49.80|± | 2.24|
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+ |piqa | 0|acc |82.86|± | 0.88|
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+ | | |acc_norm|84.87|± | 0.84|
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+ |winogrande | 0|acc |84.45|± | 1.02|
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+
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+ Average: 77.77%
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+
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+ ### TruthfulQA
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+ | Task |Version|Metric|Value| |Stderr|
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+ |-------------|------:|------|----:|---|-----:|
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+ |truthfulqa_mc| 1|mc1 |53.98|± | 1.74|
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+ | | |mc2 |68.47|± | 1.53|
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+
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+ Average: 68.47%
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+
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+ ### Bigbench
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+
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+ | Task |Version| Metric |Value| |Stderr|
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+ |------------------------------------------------|------:|---------------------|----:|---|-----:|
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+ |bigbench_causal_judgement | 0|multiple_choice_grade|59.47|± | 3.57|
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+ |bigbench_date_understanding | 0|multiple_choice_grade|64.50|± | 2.49|
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+ |bigbench_disambiguation_qa | 0|multiple_choice_grade|44.96|± | 3.10|
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+ |bigbench_geometric_shapes | 0|multiple_choice_grade|22.84|± | 2.22|
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+ | | |exact_str_match | 2.79|± | 0.87|
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+ |bigbench_logical_deduction_five_objects | 0|multiple_choice_grade|30.80|± | 2.07|
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+ |bigbench_logical_deduction_seven_objects | 0|multiple_choice_grade|21.57|± | 1.56|
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+ |bigbench_logical_deduction_three_objects | 0|multiple_choice_grade|56.67|± | 2.87|
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+ |bigbench_movie_recommendation | 0|multiple_choice_grade|51.60|± | 2.24|
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+ |bigbench_navigate | 0|multiple_choice_grade|51.00|± | 1.58|
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+ |bigbench_reasoning_about_colored_objects | 0|multiple_choice_grade|70.35|± | 1.02|
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+ |bigbench_ruin_names | 0|multiple_choice_grade|51.79|± | 2.36|
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+ |bigbench_salient_translation_error_detection | 0|multiple_choice_grade|35.97|± | 1.52|
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+ |bigbench_snarks | 0|multiple_choice_grade|79.01|± | 3.04|
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+ |bigbench_sports_understanding | 0|multiple_choice_grade|75.66|± | 1.37|
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+ |bigbench_temporal_sequences | 0|multiple_choice_grade|47.90|± | 1.58|
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+ |bigbench_tracking_shuffled_objects_five_objects | 0|multiple_choice_grade|23.84|± | 1.21|
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+ |bigbench_tracking_shuffled_objects_seven_objects| 0|multiple_choice_grade|18.00|± | 0.92|
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+ |bigbench_tracking_shuffled_objects_three_objects| 0|multiple_choice_grade|56.67|± | 2.87|
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+
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+ Average: 47.92%
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+
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+ Average score: 59.62%
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+
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+ Elapsed time: 01:57:56
config.json ADDED
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+ {
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+ "_name_or_path": "cognitivecomputations/WestLake-7B-v2-laser",
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+ "architectures": [
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+ "MistralForCausalLM"
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+ ],
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+ "transformers_version": "4.37.2",
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+ "unsloth_version": "2024.1",
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+ "use_cache": true,
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+ "vocab_size": 32000
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+ }
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+ }
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+ "lstrip": false,
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+ "single_word": false,
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+ "special": true
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+ "content": "<s>",
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+ "normalized": false,
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+ "rstrip": false,
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+ "single_word": false,
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+ "special": true
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+ },
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+ "2": {
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+ "content": "</s>",
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+ "lstrip": false,
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+ "normalized": false,
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+ "rstrip": false,
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+ "single_word": false,
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+ "special": true
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+ }
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+ },
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+ "additional_special_tokens": [
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+ "<unk>",
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+ "<s>",
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+ "</s>"
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+ ],
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+ "bos_token": "<s>",
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+ "clean_up_tokenization_spaces": false,
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+ "eos_token": "</s>",
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+ "legacy": true,
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+ "model_max_length": 255,
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+ "pad_token": "<unk>",
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+ "padding_side": "right",
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+ "sp_model_kwargs": {},
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+ "spaces_between_special_tokens": false,
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+ "tokenizer_class": "LlamaTokenizer",
45
+ "unk_token": "<unk>",
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+ "use_default_system_prompt": true
47
+ }