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RichardErkhov/KnutJaegersberg_-_gpt2-chatbot-gguf
KnutJaegersberg_-_gpt2-chatbot-gguf is a machine learning model from RichardErkhov. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
Downloads · 30 days
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4% of all-time downloads
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.gguf25.1 GB · 100%
From the Hugging Face model README
Quantization made by Richard Erkhov.
gpt2-chatbot - GGUF
| Name | Quant method | Size |
|---|---|---|
| gpt2-chatbot.Q2_K.gguf | Q2_K | 0.84GB |
| gpt2-chatbot.IQ3_XS.gguf | IQ3_XS | 0.84GB |
| gpt2-chatbot.IQ3_S.gguf | IQ3_S | 0.84GB |
| gpt2-chatbot.Q3_K_S.gguf | Q3_K_S | 0.84GB |
| gpt2-chatbot.IQ3_M.gguf | IQ3_M | 0.91GB |
| gpt2-chatbot.Q3_K.gguf | Q3_K | 0.97GB |
| gpt2-chatbot.Q3_K_M.gguf | Q3_K_M | 0.97GB |
| gpt2-chatbot.Q3_K_L.gguf | Q3_K_L | 1.03GB |
| gpt2-chatbot.IQ4_XS.gguf | IQ4_XS | 0.9GB |
| gpt2-chatbot.Q4_0.gguf | Q4_0 | 0.91GB |
| gpt2-chatbot.IQ4_NL.gguf | IQ4_NL | 0.91GB |
| gpt2-chatbot.Q4_K_S.gguf | Q4_K_S | 1.04GB |
| gpt2-chatbot.Q4_K.gguf | Q4_K | 1.11GB |
| gpt2-chatbot.Q4_K_M.gguf | Q4_K_M | 1.11GB |
| gpt2-chatbot.Q4_1.gguf | Q4_1 | 1.0GB |
| gpt2-chatbot.Q5_0.gguf | Q5_0 | 1.09GB |
| gpt2-chatbot.Q5_K_S.gguf | Q5_K_S | 1.15GB |
| gpt2-chatbot.Q5_K.gguf | Q5_K | 1.29GB |
| gpt2-chatbot.Q5_K_M.gguf | Q5_K_M | 1.29GB |
| gpt2-chatbot.Q5_1.gguf | Q5_1 | 1.18GB |
| gpt2-chatbot.Q6_K.gguf | Q6_K | 1.52GB |
| gpt2-chatbot.Q8_0.gguf | Q8_0 | 1.63GB |
license: apache-2.0 datasets:
GPT2-XL SFT on Deita dataset to change Sams mind. Supports multi-turn dialogue within the range of its capabilities.
Prompt Example:
### System:
You are an AI assistant. User will give you a task. Your goal is to complete the task as faithfully as you can. While performing the task think step-by-step and justify your steps.
### User:
How do you fine tune a large language model?
### Assistant:

Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 33.91 |
| AI2 Reasoning Challenge (25-Shot) | 29.69 |
| HellaSwag (10-Shot) | 50.27 |
| MMLU (5-Shot) | 26.42 |
| TruthfulQA (0-shot) | 40.38 |
| Winogrande (5-shot) | 56.67 |
| GSM8k (5-shot) | 0.00 |