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Model: reedmayhew/Llama-3.2-1B-claude-3.7-sonnet-reasoning-distilled
Source: Original Platform

.gitattributes

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Modelfile

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+
+FROM /content/reedmayhew/Llama-3.2-1B-claude-3.7-sonnet-reasoning-distilled/unsloth.BF16.gguf
+TEMPLATE """{{ if .Messages }}
+{{- if or .System .Tools }}<|start_header_id|>system<|end_header_id|>
+{{- if .System }}
+
+{{ .System }}
+{{- end }}
+{{- if .Tools }}
+
+You are a helpful assistant with tool calling capabilities. When you receive a tool call response, use the output to format an answer to the original use question.
+{{- end }}
+{{- end }}<|eot_id|>
+{{- range $i, $_ := .Messages }}
+{{- $last := eq (len (slice $.Messages $i)) 1 }}
+{{- if eq .Role "user" }}<|start_header_id|>user<|end_header_id|>
+{{- if and $.Tools $last }}
+
+Given the following functions, please respond with a JSON for a function call with its proper arguments that best answers the given prompt.
+
+Respond in the format {"name": function name, "parameters": dictionary of argument name and its value}. Do not use variables.
+
+{{ $.Tools }}
+{{- end }}
+
+{{ .Content }}<|eot_id|>{{ if $last }}<|start_header_id|>assistant<|end_header_id|>
+
+{{ end }}
+{{- else if eq .Role "assistant" }}<|start_header_id|>assistant<|end_header_id|>
+{{- if .ToolCalls }}
+
+{{- range .ToolCalls }}{"name": "{{ .Function.Name }}", "parameters": {{ .Function.Arguments }}}{{ end }}
+{{- else }}
+
+{{ .Content }}{{ if not $last }}<|eot_id|>{{ end }}
+{{- end }}
+{{- else if eq .Role "tool" }}<|start_header_id|>ipython<|end_header_id|>
+
+{{ .Content }}<|eot_id|>{{ if $last }}<|start_header_id|>assistant<|end_header_id|>
+
+{{ end }}
+{{- end }}
+{{- end }}
+{{- else }}
+{{- if .System }}<|start_header_id|>system<|end_header_id|>
+
+{{ .System }}<|eot_id|>{{ end }}{{ if .Prompt }}<|start_header_id|>user<|end_header_id|>
+
+{{ .Prompt }}<|eot_id|>{{ end }}<|start_header_id|>assistant<|end_header_id|>
+
+{{ end }}{{ .Response }}{{ if .Response }}<|eot_id|>{{ end }}"""
+PARAMETER stop "<|start_header_id|>"
+PARAMETER stop "<|end_header_id|>"
+PARAMETER stop "<|eot_id|>"
+PARAMETER stop "<|eom_id|>"
+PARAMETER temperature 1.5
+PARAMETER min_p 0.1

README.md

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+---
+base_model: unsloth/llama-3.2-1b-instruct
+tags:
+- text-generation-inference
+- transformers
+- unsloth
+- llama
+- gguf
+license: apache-2.0
+language:
+- en
+datasets:
+- mfielding92/claude-3.7-sonnet-reasoning
+---
+
+# Uploaded Model
+
+## Overview
+This model is a Llama 3.2 1B Instruct variant that has been specifically fine-tuned using reasoning data from Claude 3.7 Sonnet. The goal was to leverage Claude's renowned reasoning capabilities within a more accessible, open-source architecture like Llama.
+
+## Technical Details
+- **Developed by:** mfielding92
+- **Base Model:** unsloth/llama-3.2-1b-instruct
+- **Finetuning Method:** Supervised Fine-Tuning (SFT) using LoRA
+- **Training Speed Enhancement:** Trained 2x faster with Unsloth and Huggingface's TRL library
+
+## Training Data
+The model was fine-tuned on a dataset derived from:
+- mfielding92/claude-3.7-sonnet-reasoning
+
+This allows the model to potentially exhibit improved logical thinking, problem-solving abilities, and complex reasoning compared to the base Llama 3.2 model while remaining open-source.
+
+## Usage Notes
+While this model inherits some of Claude's strenghs in reasoning, it is still a derivative work built on Llama architecture. Users should evaluate its performance carefully for their specific use cases.
+
+This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
+[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)

config.json

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+{
+    "model_type": "llama"
+}

llama-3.2-1b-claude-3.7-sonnet-reasoning-distilled.Q4_0.gguf

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+size 770929120

llama-3.2-1b-claude-3.7-sonnet-reasoning-distilled.Q8_0.gguf

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