143 lines
4.9 KiB
Markdown
143 lines
4.9 KiB
Markdown
---
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base_model: Felladrin/Llama-68M-Chat-v1
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datasets:
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- THUDM/webglm-qa
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- databricks/databricks-dolly-15k
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- cognitivecomputations/wizard_vicuna_70k_unfiltered
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- totally-not-an-llm/EverythingLM-data-V3
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- Amod/mental_health_counseling_conversations
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- sablo/oasst2_curated
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- starfishmedical/webGPT_x_dolly
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- Open-Orca/OpenOrca
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- mlabonne/chatml_dpo_pairs
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inference: false
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language:
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- en
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license: apache-2.0
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model_creator: Felladrin
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model_name: Llama-68M-Chat-v1
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pipeline_tag: text-generation
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quantized_by: afrideva
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tags:
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- text-generation
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- gguf
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- ggml
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- quantized
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- q2_k
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- q3_k_m
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- q4_k_m
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- q5_k_m
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- q6_k
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- q8_0
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widget:
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- text: '<|im_start|>system
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You are a knowledgeable assistant. Help the user as much as you can.<|im_end|>
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<|im_start|>user
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How to become healthier?<|im_end|>
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<|im_start|>assistant'
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- text: '<|im_start|>system
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You are a career counselor. The user will provide you with an individual looking
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for guidance in their professional life, and your task is to assist them in determining
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what careers they are most suited for based on their skills, interests, and experience.
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You should also conduct research into the various options available, explain the
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job market trends in different industries, and advice on which qualifications
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would be beneficial for pursuing particular fields.<|im_end|>
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<|im_start|>user
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Heya!<|im_end|>
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<|im_start|>assistant
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Hi! How may I help you?<|im_end|>
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<|im_start|>user
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I am interested in developing a career in software engineering. What would you
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recommend me to do?<|im_end|>
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<|im_start|>assistant'
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- text: '<|im_start|>system
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You are a helpful assistant who provides concise responses.<|im_end|>
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<|im_start|>user
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Hi!<|im_end|>
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<|im_start|>assistant
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Hello there! How may I help you?<|im_end|>
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<|im_start|>user
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I need to build a simple website. Where should I start learning about web development?<|im_end|>
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<|im_start|>assistant'
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- text: '<|im_start|>system
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You are a very creative assistant. User will give you a task, which you should
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complete with all your knowledge.<|im_end|>
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<|im_start|>user
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Write the background story of an RPG game about wizards and dragons in a sci-fi
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world.<|im_end|>
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<|im_start|>assistant'
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---
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# Felladrin/Llama-68M-Chat-v1-GGUF
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Quantized GGUF model files for [Llama-68M-Chat-v1](https://huggingface.co/Felladrin/Llama-68M-Chat-v1) from [Felladrin](https://huggingface.co/Felladrin)
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| Name | Quant method | Size |
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| ---- | ---- | ---- |
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| [llama-68m-chat-v1.fp16.gguf](https://huggingface.co/afrideva/Llama-68M-Chat-v1-GGUF/resolve/main/llama-68m-chat-v1.fp16.gguf) | fp16 | 136.79 MB |
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| [llama-68m-chat-v1.q2_k.gguf](https://huggingface.co/afrideva/Llama-68M-Chat-v1-GGUF/resolve/main/llama-68m-chat-v1.q2_k.gguf) | q2_k | 35.88 MB |
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| [llama-68m-chat-v1.q3_k_m.gguf](https://huggingface.co/afrideva/Llama-68M-Chat-v1-GGUF/resolve/main/llama-68m-chat-v1.q3_k_m.gguf) | q3_k_m | 40.66 MB |
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| [llama-68m-chat-v1.q4_k_m.gguf](https://huggingface.co/afrideva/Llama-68M-Chat-v1-GGUF/resolve/main/llama-68m-chat-v1.q4_k_m.gguf) | q4_k_m | 46.10 MB |
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| [llama-68m-chat-v1.q5_k_m.gguf](https://huggingface.co/afrideva/Llama-68M-Chat-v1-GGUF/resolve/main/llama-68m-chat-v1.q5_k_m.gguf) | q5_k_m | 51.16 MB |
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| [llama-68m-chat-v1.q6_k.gguf](https://huggingface.co/afrideva/Llama-68M-Chat-v1-GGUF/resolve/main/llama-68m-chat-v1.q6_k.gguf) | q6_k | 56.54 MB |
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| [llama-68m-chat-v1.q8_0.gguf](https://huggingface.co/afrideva/Llama-68M-Chat-v1-GGUF/resolve/main/llama-68m-chat-v1.q8_0.gguf) | q8_0 | 73.02 MB |
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## Original Model Card:
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# A Llama Chat Model of 68M Parameters
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- Base model: [JackFram/llama-68m](https://huggingface.co/JackFram/llama-68m)
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- Datasets:
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- [THUDM/webglm-qa](https://huggingface.co/datasets/THUDM/webglm-qa)
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- [databricks/databricks-dolly-15k](https://huggingface.co/datasets/databricks/databricks-dolly-15k)
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- [cognitivecomputations/wizard_vicuna_70k_unfiltered](https://huggingface.co/datasets/cognitivecomputations/wizard_vicuna_70k_unfiltered)
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- [totally-not-an-llm/EverythingLM-data-V3](https://huggingface.co/datasets/totally-not-an-llm/EverythingLM-data-V3)
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- [Amod/mental_health_counseling_conversations](https://huggingface.co/datasets/Amod/mental_health_counseling_conversations)
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- [sablo/oasst2_curated](https://huggingface.co/datasets/sablo/oasst2_curated)
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- [starfishmedical/webGPT_x_dolly](https://huggingface.co/datasets/starfishmedical/webGPT_x_dolly)
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- [Open-Orca/OpenOrca](https://huggingface.co/datasets/Open-Orca/OpenOrca)
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- [mlabonne/chatml_dpo_pairs](https://huggingface.co/datasets/mlabonne/chatml_dpo_pairs)
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- Availability in other ML formats:
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- ONNX: [Felladrin/onnx-Llama-68M-Chat-v1](https://huggingface.co/Felladrin/onnx-Llama-68M-Chat-v1)
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## Recommended Prompt Format
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```
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<|im_start|>system
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{system_message}<|im_end|>
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<|im_start|>user
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{user_message}<|im_end|>
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<|im_start|>assistant
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```
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## Recommended Inference Parameters
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```yml
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penalty_alpha: 0.5
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top_k: 4
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``` |