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Model: kmaurinjones/grammar-llama-3.2-1B
Source: Original Platform

.gitattributes

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+*.arrow filter=lfs diff=lfs merge=lfs -text
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+*.pt filter=lfs diff=lfs merge=lfs -text
+*.pth filter=lfs diff=lfs merge=lfs -text
+*.rar filter=lfs diff=lfs merge=lfs -text
+*.safetensors filter=lfs diff=lfs merge=lfs -text
+saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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+*.zst filter=lfs diff=lfs merge=lfs -text
+*tfevents* filter=lfs diff=lfs merge=lfs -text
+unsloth.Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
+unsloth.F16.gguf filter=lfs diff=lfs merge=lfs -text
+unsloth.Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
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+grammar-llama-3.2-1B.F16.gguf filter=lfs diff=lfs merge=lfs -text
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Modelfile

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+
+FROM /content/kmaurinjones/grammar-llama-3.2-1B/grammar-llama-3.2-1B.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
+PARAMETER min_p 0.1

README.md

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+---
+base_model:
+- unsloth/Llama-3.2-1B-Instruct-bnb-4bit
+- meta-llama/Llama-3.2-1B
+tags:
+- text-generation-inference
+- transformers
+- llama
+- gguf
+license: apache-2.0
+language:
+- en
+---
+
+![Grammar Llama Model](grammar-llama.webp)
+
+# Uploaded  model
+
+- **Developed by:** kmaurinjones
+- **License:** apache-2.0
+- **Finetuned from model :** unsloth/Llama-3.2-1B-Instruct-bnb-4bit
+
+```python
+from transformers import AutoTokenizer, AutoModelForCausalLM
+import torch
+
+model_id = "kmaurinjones/grammar-llama-3.2-1B"
+tokenizer = AutoTokenizer.from_pretrained(model_id)
+model = AutoModelForCausalLM.from_pretrained(
+    model_id,
+    torch_dtype=torch.bfloat16,
+    device_map="auto"
+)
+
+messages = [
+    {
+        "role": "system",
+        "content": "",
+    },
+    {
+        "role": "user",
+        "content": """
+        # Instructions
+        - Revise the following transcript in the ways outlined below
+        - Return exactly the revised text and nothing else
+        - Use the custom vocabulary of terms to inform your revision
+        
+        # Revisions
+        - Correct grammar
+        - Correct punctuation
+        - Correct spelling
+        - Correct word choice
+        
+        # Vocabulary
+        {custom vocabulary terms, separated by newline}
+        
+        # Transcript
+        {transcript}
+        """
+    }
+]
+
+input_ids = tokenizer.apply_chat_template(
+    messages,
+    add_generation_prompt=True,
+    return_tensors="pt"
+).to(model.device)
+
+terminators = [
+    tokenizer.eos_token_id,
+    tokenizer.convert_tokens_to_ids("<|eot_id|>")
+]
+
+outputs = model.generate(
+    input_ids,
+    # max_new_tokens=256,
+    eos_token_id=terminators,
+    do_sample=True,
+    temperature=0.1,
+)
+response = outputs[0]
+print(tokenizer.decode(response))
+
+# Example of Model Input
+"""
+<|begin_of_text|><|start_header_id|>system<|end_header_id|>
+
+Cutting Knowledge Date: December 2023
+Today Date: 26 July 2024
+
+<|eot_id|><|start_header_id|>user<|end_header_id|>
+
+# Instructions
+- Revise the following transcript in the ways outlined below
+- Return exactly the revised text and nothing else
+- Use the custom vocabulary of terms to inform your revision
+
+# Revisions
+- Correct grammar
+- Correct punctuation
+- Correct spelling
+- Correct word choice
+
+# Vocabulary
+Seljukid
+Turbessel
+Gaziantep
+Ahlat
+
+# Transcript
+in 1111, he was invited to participate in a seljookid campaign. with his troops he joined the main seljookid army.  but during the siege of turbessle  he died in august 1111. his coffin was sent to ahlat.<|eot_id|><|start_header_id|>assistant<|end_header_id|>
+"""
+
+# Example of Model Output
+"""
+In 1111, he was invited to participate in a Seljukid campaign. With his troops he joined the main Seljukid army.  But during the siege of Turbessel  he died in August 1111. His coffin was sent to Ahlat.<|eot_id|>
+"""
+```

config.json

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

grammar-llama-3.2-1B.F16.gguf

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