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README.md

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+Quantization made by Richard Erkhov.
+
+[Github](https://github.com/RichardErkhov)
+
+[Discord](https://discord.gg/pvy7H8DZMG)
+
+[Request more models](https://github.com/RichardErkhov/quant_request)
+
+
+Pythia-31M-Chat-v1 - bnb 4bits
+- Model creator: https://huggingface.co/Felladrin/
+- Original model: https://huggingface.co/Felladrin/Pythia-31M-Chat-v1/
+
+
+
+
+Original model description:
+---
+language:
+- en
+license: apache-2.0
+base_model: EleutherAI/pythia-31m
+datasets:
+- totally-not-an-llm/EverythingLM-data-V3
+- databricks/databricks-dolly-15k
+- THUDM/webglm-qa
+- starfishmedical/webGPT_x_dolly
+- Amod/mental_health_counseling_conversations
+- sablo/oasst2_curated
+- cognitivecomputations/wizard_vicuna_70k_unfiltered
+- mlabonne/chatml_dpo_pairs
+pipeline_tag: text-generation
+widget:
+  - messages:
+      - role: system
+        content: >-
+          You are a career counselor. The user will provide you with an individual
+          looking for guidance in their professional life, and your task is to assist
+          them in determining what careers they are most suited for based on their skills,
+          interests, and experience. You should also conduct research into the various
+          options available, explain the job market trends in different industries, and
+          advice on which qualifications would be beneficial for pursuing particular fields.
+      - role: user
+        content: Heya!
+      - role: assistant
+        content: Hi! How may I help you?
+      - role: user
+        content: >-
+          I am interested in developing a career in software engineering. What
+          would you recommend me to do?
+  - messages:
+      - role: system
+        content: "You are a helpful assistant who answers user's questions with details and curiosity."
+      - role: user
+        content: What are some potential applications for quantum computing?
+  - messages:
+      - role: system
+        content: You are a highly knowledgeable assistant. Help the user as much as you can.
+      - role: user
+        content: What are some steps I can take to become a healthier person?
+inference:
+  parameters:
+    max_new_tokens: 250
+    penalty_alpha: 0.5
+    top_k: 2
+    repetition_penalty: 1.0016
+model-index:
+- name: Pythia-31M-Chat-v1
+  results:
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: AI2 Reasoning Challenge (25-Shot)
+      type: ai2_arc
+      config: ARC-Challenge
+      split: test
+      args:
+        num_few_shot: 25
+    metrics:
+    - type: acc_norm
+      value: 22.7
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Felladrin/Pythia-31M-Chat-v1
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: HellaSwag (10-Shot)
+      type: hellaswag
+      split: validation
+      args:
+        num_few_shot: 10
+    metrics:
+    - type: acc_norm
+      value: 25.6
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Felladrin/Pythia-31M-Chat-v1
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: MMLU (5-Shot)
+      type: cais/mmlu
+      config: all
+      split: test
+      args:
+        num_few_shot: 5
+    metrics:
+    - type: acc
+      value: 23.24
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Felladrin/Pythia-31M-Chat-v1
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: Winogrande (5-shot)
+      type: winogrande
+      config: winogrande_xl
+      split: validation
+      args:
+        num_few_shot: 5
+    metrics:
+    - type: acc
+      value: 47.99
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Felladrin/Pythia-31M-Chat-v1
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: TruthfulQA (0-shot)
+      type: truthful_qa
+      config: multiple_choice
+      split: validation
+      args:
+        num_few_shot: 0
+    metrics:
+    - type: mc2
+      value: 0.0
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Felladrin/Pythia-31M-Chat-v1
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: GSM8k (5-shot)
+      type: gsm8k
+      config: main
+      split: test
+      args:
+        num_few_shot: 5
+    metrics:
+    - type: acc
+      value: 0.0
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Felladrin/Pythia-31M-Chat-v1
+      name: Open LLM Leaderboard
+---
+
+# A Pythia Chat Model of 31M Parameters
+
+- Base model: [EleutherAI/pythia-31m](https://huggingface.co/EleutherAI/pythia-31m)
+- Availability in other ML formats:
+  - GGUF: [Felladrin/gguf-Pythia-31M-Chat-v1](https://huggingface.co/Felladrin/gguf-Pythia-31M-Chat-v1)
+  - ONNX: [Felladrin/onnx-Pythia-31M-Chat-v1](https://huggingface.co/Felladrin/onnx-Pythia-31M-Chat-v1)
+
+## Recommended prompt format
+
+```
+<|im_start|>system
+{system_message}<|im_end|>
+<|im_start|>user
+{user_message}<|im_end|>
+<|im_start|>assistant
+```
+
+## Recommended inference parameters
+
+```yml
+penalty_alpha: 0.5
+top_k: 2
+repetition_penalty: 1.0016
+```
+
+## Datasets and parameters used for training
+
+| Dataset | License Type |
+|---------|--------------|
+| [totally-not-an-llm/EverythingLM-data-V3](https://huggingface.co/datasets/totally-not-an-llm/EverythingLM-data-V3) | mit |
+| [databricks/databricks-dolly-15k](https://huggingface.co/datasets/databricks/databricks-dolly-15k) | cc-by-sa-3.0 |
+| [THUDM/webglm-qa](https://huggingface.co/datasets/THUDM/webglm-qa) | apache-2.0 |
+| [starfishmedical/webGPT_x_dolly](https://huggingface.co/datasets/starfishmedical/webGPT_x_dolly) | cc-by-sa-3.0 |
+| [Amod/mental_health_counseling_conversations](https://huggingface.co/datasets/Amod/mental_health_counseling_conversations) | openrail |
+| [sablo/oasst2_curated](https://huggingface.co/datasets/sablo/oasst2_curated) | apache-2.0 |
+| [cognitivecomputations/wizard_vicuna_70k_unfiltered](https://huggingface.co/datasets/cognitivecomputations/wizard_vicuna_70k_unfiltered) | apache-2.0 |
+| [mlabonne/chatml_dpo_pairs](https://huggingface.co/datasets/mlabonne/chatml_dpo_pairs) | apache-2.0 |
+
+```python
+SFTTrainer(
+    model,
+    train_dataset=train_dataset,
+    dataset_text_field="text",
+    eval_dataset=eval_dataset,
+    max_seq_length=2048,
+    packing=True,
+    args=TrainingArguments(
+        learning_rate=2e-6,
+        per_device_train_batch_size=1,
+        per_device_eval_batch_size=1,
+        gradient_accumulation_steps=16,
+        lr_scheduler_type="cosine",
+        num_train_epochs=1,
+        logging_strategy="steps",
+        save_strategy="steps",
+        evaluation_strategy="steps",
+        logging_steps=10,
+        eval_steps=10,
+        save_steps=10,
+        warmup_steps=50,
+        load_best_model_at_end=True,
+        metric_for_best_model="eval_loss",
+        greater_is_better=False,
+        weight_decay=0.01,
+        save_total_limit=10,
+        neftune_noise_alpha=5,
+    ),
+    callbacks=[
+        EarlyStoppingCallback(
+            early_stopping_patience=3,
+            early_stopping_threshold=0.005
+        ),
+    ],
+)
+```
+
+```python
+DPOTrainer(
+    model,
+    beta=0.1,
+    train_dataset=dataset,
+    tokenizer=tokenizer,
+    eval_dataset=eval_dataset,
+    max_length=1536,
+    max_prompt_length=1024,
+    args=TrainingArguments(
+        learning_rate=2e-6,
+        per_device_train_batch_size=1,
+        per_device_eval_batch_size=1,
+        gradient_accumulation_steps=1,
+        lr_scheduler_type="cosine",
+        num_train_epochs=1,
+        logging_strategy="steps",
+        save_strategy="steps",
+        evaluation_strategy="steps",
+        logging_steps=1,
+        eval_steps=1,
+        save_steps=1,
+        warmup_steps=0,
+        load_best_model_at_end=True,
+        metric_for_best_model="eval_loss",
+        greater_is_better=False,
+        weight_decay=0.0,
+        neftune_noise_alpha=5,
+        remove_unused_columns=False,
+    ),
+    callbacks=[
+        EarlyStoppingCallback(
+            early_stopping_patience=3,
+            early_stopping_threshold=0.005
+        ),
+    ],
+)
+```
+
+## [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
+Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_Felladrin__Pythia-31M-Chat-v1)
+
+|             Metric              |Value|
+|---------------------------------|----:|
+|Avg.                             |19.92|
+|AI2 Reasoning Challenge (25-Shot)|22.70|
+|HellaSwag (10-Shot)              |25.60|
+|MMLU (5-Shot)                    |23.24|
+|TruthfulQA (0-shot)              | 0.00|
+|Winogrande (5-shot)              |47.99|
+|GSM8k (5-shot)                   | 0.00|
+
+