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Model: SkylarWhite/llama3-8b-cpt-sahabatai-v1-instruct-gguf
Source: Original Platform

.gitattributes

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Modelfile

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+
+FROM /content/SkylarWhite/llama3-8b-cpt-sahabatai-v1-instruct-gguf/unsloth.F16.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
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README.md

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+---
+license: llama3
+tags:
+- unsloth
+datasets:
+- Danda245/medical-qa-id-llama-split
+language:
+- id
+base_model:
+- GoToCompany/llama3-8b-cpt-sahabatai-v1-instruct
+pipeline_tag: text-generation
+---
+
+# SkylarWhite/llama3-8b-cpt-sahabatai-v1-instruct
+
+This model is a fine-tuned version of the `aisingapore/llama3-8b-cpt-sea-lionv2-base`, optimized for instruction-based tasks in the Indonesian language. It is specifically designed for providing structured responses and expert-like advice.
+
+### Model Sources
+- **Original Base Model:** [aisingapore/llama3-8b-cpt-sea-lionv2-base](https://huggingface.co/aisingapore/llama3-8b-cpt-sea-lionv2-base)
+- **Fine-Tuned Version:** [GoToCompany/llama3-8b-cpt-sahabatai-v1-instruct](https://huggingface.co/GoToCompany/llama3-8b-cpt-sahabatai-v1-instruct)
+- **GGUF Conversion:** Supports 4-bit, 5-bit, 8-bit, and 16-bit quantized formats.
+
+### Dataset
+The model was fine-tuned using the **Danda245/medical-qa-id-llama-split** dataset, which contains Indonesian medical question-answer pairs. The dataset includes:
+- **Dataset Repository:** [Danda245/medical-qa-id-llama-split](https://huggingface.co/datasets/Danda245/medical-qa-id-llama-split)

adapter_config.json

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+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "GoToCompany/llama3-8b-cpt-sahabatai-v1-instruct",
+  "bias": "none",
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 16,
+  "lora_dropout": 0,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": [
+    "lm_head"
+  ],
+  "peft_type": "LORA",
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "o_proj",
+    "v_proj",
+    "k_proj",
+    "down_proj",
+    "up_proj",
+    "q_proj",
+    "gate_proj"
+  ],
+  "task_type": "CAUSAL_LM",
+  "use_dora": false,
+  "use_rslora": false
+}

adapter_model.safetensors

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config.json

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

special_tokens_map.json

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+{
+  "bos_token": {
+    "content": "<|begin_of_text|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
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+  "eos_token": {
+    "content": "<|eot_id|>",
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+    "normalized": false,
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+}

tokenizer.json

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