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Model: afrideva/Llama-68M-Chat-v1-GGUF
Source: Original Platform

.gitattributes

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+llama-68m-chat-v1.fp16.gguf filter=lfs diff=lfs merge=lfs -text
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README.md

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+---
+base_model: Felladrin/Llama-68M-Chat-v1
+datasets:
+- THUDM/webglm-qa
+- databricks/databricks-dolly-15k
+- cognitivecomputations/wizard_vicuna_70k_unfiltered
+- totally-not-an-llm/EverythingLM-data-V3
+- Amod/mental_health_counseling_conversations
+- sablo/oasst2_curated
+- starfishmedical/webGPT_x_dolly
+- Open-Orca/OpenOrca
+- mlabonne/chatml_dpo_pairs
+inference: false
+language:
+- en
+license: apache-2.0
+model_creator: Felladrin
+model_name: Llama-68M-Chat-v1
+pipeline_tag: text-generation
+quantized_by: afrideva
+tags:
+- text-generation
+- gguf
+- ggml
+- quantized
+- q2_k
+- q3_k_m
+- q4_k_m
+- q5_k_m
+- q6_k
+- q8_0
+widget:
+- text: '<|im_start|>system
+
+    You are a knowledgeable assistant. Help the user as much as you can.<|im_end|>
+
+    <|im_start|>user
+
+    How to become healthier?<|im_end|>
+
+    <|im_start|>assistant'
+- text: '<|im_start|>system
+
+    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.<|im_end|>
+
+    <|im_start|>user
+
+    Heya!<|im_end|>
+
+    <|im_start|>assistant
+
+    Hi! How may I help you?<|im_end|>
+
+    <|im_start|>user
+
+    I am interested in developing a career in software engineering. What would you
+    recommend me to do?<|im_end|>
+
+    <|im_start|>assistant'
+- text: '<|im_start|>system
+
+    You are a helpful assistant who provides concise responses.<|im_end|>
+
+    <|im_start|>user
+
+    Hi!<|im_end|>
+
+    <|im_start|>assistant
+
+    Hello there! How may I help you?<|im_end|>
+
+    <|im_start|>user
+
+    I need to build a simple website. Where should I start learning about web development?<|im_end|>
+
+    <|im_start|>assistant'
+- text: '<|im_start|>system
+
+    You are a very creative assistant. User will give you a task, which you should
+    complete with all your knowledge.<|im_end|>
+
+    <|im_start|>user
+
+    Write the background story of an RPG game about wizards and dragons in a sci-fi
+    world.<|im_end|>
+
+    <|im_start|>assistant'
+---
+# Felladrin/Llama-68M-Chat-v1-GGUF
+
+Quantized GGUF model files for [Llama-68M-Chat-v1](https://huggingface.co/Felladrin/Llama-68M-Chat-v1) from [Felladrin](https://huggingface.co/Felladrin)
+
+
+| Name | Quant method | Size |
+| ---- | ---- | ---- |
+| [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  |
+| [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  |
+| [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  |
+| [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  |
+| [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  |
+| [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  |
+| [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  |
+
+
+
+## Original Model Card:
+# A Llama Chat Model of 68M Parameters
+
+- Base model: [JackFram/llama-68m](https://huggingface.co/JackFram/llama-68m)
+- Datasets:
+  - [THUDM/webglm-qa](https://huggingface.co/datasets/THUDM/webglm-qa)
+  - [databricks/databricks-dolly-15k](https://huggingface.co/datasets/databricks/databricks-dolly-15k)
+  - [cognitivecomputations/wizard_vicuna_70k_unfiltered](https://huggingface.co/datasets/cognitivecomputations/wizard_vicuna_70k_unfiltered)
+  - [totally-not-an-llm/EverythingLM-data-V3](https://huggingface.co/datasets/totally-not-an-llm/EverythingLM-data-V3)
+  - [Amod/mental_health_counseling_conversations](https://huggingface.co/datasets/Amod/mental_health_counseling_conversations)
+  - [sablo/oasst2_curated](https://huggingface.co/datasets/sablo/oasst2_curated)
+  - [starfishmedical/webGPT_x_dolly](https://huggingface.co/datasets/starfishmedical/webGPT_x_dolly)
+  - [Open-Orca/OpenOrca](https://huggingface.co/datasets/Open-Orca/OpenOrca)
+  - [mlabonne/chatml_dpo_pairs](https://huggingface.co/datasets/mlabonne/chatml_dpo_pairs)
+- Availability in other ML formats:
+  - ONNX: [Felladrin/onnx-Llama-68M-Chat-v1](https://huggingface.co/Felladrin/onnx-Llama-68M-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: 4
+```

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