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Model: electron271/graig-code-turbo-fast-slow-4.5-mini
Source: Original Platform
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2026-06-03 02:22:29 +08:00
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FROM model-F16.gguf
TEMPLATE """{{- if .Messages }}
{{- if or .System .Tools }}<|im_start|>system
{{- if .System }}
{{ .System }}
{{- end }}
{{- if .Tools }}
# Tools
You may call one or more functions to assist with the user query.
You are provided with function signatures within <tools></tools> XML tags:
<tools>
{{- range .Tools }}
{"type": "function", "function": {{ .Function }}}
{{- end }}
</tools>
For each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:
<tool_call>
{"name": <function-name>, "arguments": <args-json-object>}
</tool_call>
{{- end }}<|im_end|>
{{ end }}
{{- range $i, $_ := .Messages }}
{{- $last := eq (len (slice $.Messages $i)) 1 -}}
{{- if eq .Role "user" }}<|im_start|>user
{{ .Content }}<|im_end|>
{{ else if eq .Role "assistant" }}<|im_start|>assistant
{{ if .Content }}{{ .Content }}
{{- else if .ToolCalls }}<tool_call>
{{ range .ToolCalls }}{"name": "{{ .Function.Name }}", "arguments": {{ .Function.Arguments }}}
{{ end }}</tool_call>
{{- end }}{{ if not $last }}<|im_end|>
{{ end }}
{{- else if eq .Role "tool" }}<|im_start|>user
<tool_response>
{{ .Content }}
</tool_response><|im_end|>
{{ end }}
{{- if and (ne .Role "assistant") $last }}<|im_start|>assistant
{{ end }}
{{- end }}
{{- else }}
{{- if .System }}<|im_start|>system
{{ .System }}<|im_end|>
{{ end }}{{ if .Prompt }}<|im_start|>user
{{ .Prompt }}<|im_end|>
{{ end }}<|im_start|>assistant
{{ end }}{{ .Response }}{{ if .Response }}<|im_end|>{{ end }}"""
PARAMETER stop "<|im_end|>"
PARAMETER stop "<|im_start|>"
PARAMETER temperature 0.6
PARAMETER min_p 0.0
PARAMETER top_k 20
PARAMETER top_p 0.95
PARAMETER repeat_penalty 1

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---
license: apache-2.0
datasets:
- GrainWare/tuxsentience
language:
- en
base_model:
- unsloth/Qwen3-0.6B
pipeline_tag: text-generation
---
# DISCLAIMER: DO NOT USE THIS IN PUBLIC DEPLOYMENTS WE ARE NOT RESPONSIBLE FOR WHAT THIS MODEL IN PARTICULAR SAYS
# THIS IS AN EXPERIMENT
# graig-code-turbo-fast-slow-4.5-mini
the latest state of the art model in the field of accuracy
other companies may be trying to reach artificial general intelligence, but we are trying to reach artificial grain intelligence. with the help of our team of the best grain farmers in the world, we are making huge strides in the field. fine tuned fully locally using a RX 9070 XT using unsloth.
`ollama run hf.co/electron271/graig-code-turbo-fast-slow-4.5-mini:F16`
## Recommended Settings
- **`temperature = 0.6`**
- `top_k = 20`
- `min_p = 0.00` (llama.cpp's default is 0.1)
- **`top_p = 0.95`**
- `presence_penalty = 0.0 to 2.0` (llama.cpp default turns it off, but to reduce repetitions, you can use this) Try 1.0 for example.
- Supports up to `131,072` context natively but you can set it to `32,768` tokens for less RAM use
you can also use `/no_think` for extra chaoticness

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{
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"<|vision_start|>": 151652
}

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{%- if tools %}
{{- '<|im_start|>system
' }}
{%- if messages[0].role == 'system' %}
{{- messages[0].content + '
' }}
{%- endif %}
{{- "# Tools
You may call one or more functions to assist with the user query.
You are provided with function signatures within <tools></tools> XML tags:
<tools>" }}
{%- for tool in tools %}
{{- "
" }}
{{- tool | tojson }}
{%- endfor %}
{{- "
</tools>
For each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:
<tool_call>
{\"name\": <function-name>, \"arguments\": <args-json-object>}
</tool_call><|im_end|>
" }}
{%- else %}
{%- if messages[0].role == 'system' %}
{{- '<|im_start|>system
' + messages[0].content + '<|im_end|>
' }}
{%- endif %}
{%- endif %}
{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
{%- for forward_message in messages %}
{%- set index = (messages|length - 1) - loop.index0 %}
{%- set message = messages[index] %}
{%- set current_content = message.content if message.content is not none else '' %}
{%- set tool_start = '<tool_response>' %}
{%- set tool_start_length = tool_start|length %}
{%- set start_of_message = current_content[:tool_start_length] %}
{%- set tool_end = '</tool_response>' %}
{%- set tool_end_length = tool_end|length %}
{%- set start_pos = (current_content|length) - tool_end_length %}
{%- if start_pos < 0 %}
{%- set start_pos = 0 %}
{%- endif %}
{%- set end_of_message = current_content[start_pos:] %}
{%- if ns.multi_step_tool and message.role == "user" and not(start_of_message == tool_start and end_of_message == tool_end) %}
{%- set ns.multi_step_tool = false %}
{%- set ns.last_query_index = index %}
{%- endif %}
{%- endfor %}
{%- for message in messages %}
{%- if (message.role == "user") or (message.role == "system" and not loop.first) %}
{{- '<|im_start|>' + message.role + '
' + message.content + '<|im_end|>' + '
' }}
{%- elif message.role == "assistant" %}
{%- set content = message.content %}
{%- set reasoning_content = '' %}
{%- if message.reasoning_content is defined and message.reasoning_content is not none %}
{%- set reasoning_content = message.reasoning_content %}
{%- else %}
{%- if '</think>' in message.content %}
{%- set content = (message.content.split('</think>')|last).lstrip('
') %}
{%- set reasoning_content = (message.content.split('</think>')|first).rstrip('
') %}
{%- set reasoning_content = (reasoning_content.split('<think>')|last).lstrip('
') %}
{%- endif %}
{%- endif %}
{%- if loop.index0 > ns.last_query_index %}
{%- if loop.last or (not loop.last and reasoning_content) %}
{{- '<|im_start|>' + message.role + '
<think>
' + reasoning_content.strip('
') + '
</think>
' + content.lstrip('
') }}
{%- else %}
{{- '<|im_start|>' + message.role + '
' + content }}
{%- endif %}
{%- else %}
{{- '<|im_start|>' + message.role + '
' + content }}
{%- endif %}
{%- if message.tool_calls %}
{%- for tool_call in message.tool_calls %}
{%- if (loop.first and content) or (not loop.first) %}
{{- '
' }}
{%- endif %}
{%- if tool_call.function %}
{%- set tool_call = tool_call.function %}
{%- endif %}
{{- '<tool_call>
{"name": "' }}
{{- tool_call.name }}
{{- '", "arguments": ' }}
{%- if tool_call.arguments is string %}
{{- tool_call.arguments }}
{%- else %}
{{- tool_call.arguments | tojson }}
{%- endif %}
{{- '}
</tool_call>' }}
{%- endfor %}
{%- endif %}
{{- '<|im_end|>
' }}
{%- elif message.role == "tool" %}
{%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
{{- '<|im_start|>user' }}
{%- endif %}
{{- '
<tool_response>
' }}
{{- message.content }}
{{- '
</tool_response>' }}
{%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
{{- '<|im_end|>
' }}
{%- endif %}
{%- endif %}
{%- endfor %}
{%- if add_generation_prompt %}
{{- '<|im_start|>assistant
' }}
{%- if enable_thinking is defined and enable_thinking is false %}
{{- '<think>
</think>
' }}
{%- endif %}
{%- endif %}

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{
"architectures": [
"Qwen3ForCausalLM"
],
"attention_bias": false,
"attention_dropout": 0.0,
"dtype": "bfloat16",
"eos_token_id": 151645,
"head_dim": 128,
"hidden_act": "silu",
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"intermediate_size": 3072,
"layer_types": [
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"full_attention",
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"max_position_embeddings": 40960,
"max_window_layers": 28,
"model_type": "qwen3",
"num_attention_heads": 16,
"num_hidden_layers": 28,
"num_key_value_heads": 8,
"pad_token_id": 151654,
"rms_norm_eps": 1e-06,
"rope_scaling": null,
"rope_theta": 1000000,
"sliding_window": null,
"tie_word_embeddings": true,
"transformers_version": "4.56.2",
"unsloth_fixed": true,
"unsloth_version": "2025.9.11",
"use_cache": true,
"use_sliding_window": false,
"vocab_size": 151936
}

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"<|vision_start|>",
"<|vision_end|>",
"<|vision_pad|>",
"<|image_pad|>",
"<|video_pad|>"
],
"bos_token": null,
"clean_up_tokenization_spaces": false,
"eos_token": "<|im_end|>",
"errors": "replace",
"extra_special_tokens": {},
"model_max_length": 40960,
"pad_token": "<|vision_pad|>",
"padding_side": "left",
"split_special_tokens": false,
"tokenizer_class": "Qwen2Tokenizer",
"unk_token": null
}

1
vocab.json Normal file

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