From 8e180e65ebf754c0a88d60462def41e62acbdeac Mon Sep 17 00:00:00 2001 From: ModelHub XC Date: Wed, 15 Jul 2026 11:48:09 +0800 Subject: [PATCH] =?UTF-8?q?=E5=88=9D=E5=A7=8B=E5=8C=96=E9=A1=B9=E7=9B=AE?= =?UTF-8?q?=EF=BC=8C=E7=94=B1ModelHub=20XC=E7=A4=BE=E5=8C=BA=E6=8F=90?= =?UTF-8?q?=E4=BE=9B=E6=A8=A1=E5=9E=8B?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Model: AuricErgeson/shellwhiz-7b Source: Original Platform --- .gitattributes | 37 ++++ Modelfile | 57 +++++ Qwen2.5-7B-Instruct.Q4_K_M.gguf | 3 + README.md | 137 ++++++++++++ chat_template.jinja | 54 +++++ config.json | 62 ++++++ generation_config.json | 14 ++ model-00001-of-00004.safetensors | 3 + model-00002-of-00004.safetensors | 3 + model-00003-of-00004.safetensors | 3 + model-00004-of-00004.safetensors | 3 + model.safetensors.index.json | 346 +++++++++++++++++++++++++++++++ tokenizer.json | 3 + tokenizer_config.json | 194 +++++++++++++++++ 14 files changed, 919 insertions(+) create mode 100644 .gitattributes create mode 100644 Modelfile create mode 100644 Qwen2.5-7B-Instruct.Q4_K_M.gguf create mode 100644 README.md create mode 100644 chat_template.jinja create mode 100644 config.json create mode 100644 generation_config.json create mode 100644 model-00001-of-00004.safetensors create mode 100644 model-00002-of-00004.safetensors create mode 100644 model-00003-of-00004.safetensors create mode 100644 model-00004-of-00004.safetensors create mode 100644 model.safetensors.index.json create mode 100644 tokenizer.json create mode 100644 tokenizer_config.json diff --git a/.gitattributes b/.gitattributes new file mode 100644 index 0000000..2e5541c --- /dev/null +++ b/.gitattributes @@ -0,0 +1,37 @@ +*.7z filter=lfs diff=lfs merge=lfs -text +*.arrow filter=lfs diff=lfs merge=lfs -text +*.bin filter=lfs diff=lfs merge=lfs -text +*.bz2 filter=lfs diff=lfs merge=lfs -text +*.ckpt filter=lfs diff=lfs merge=lfs -text +*.ftz filter=lfs diff=lfs merge=lfs -text +*.gz filter=lfs 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function name and arguments within XML tags: + +{"name": , "arguments": } + +{{- 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 }} +{{ range .ToolCalls }}{"name": "{{ .Function.Name }}", "arguments": {{ .Function.Arguments }}} +{{ end }} +{{- end }}{{ if not $last }}<|im_end|> +{{ end }} +{{- else if eq .Role "tool" }}<|im_start|>user + +{{ .Content }} +<|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 "<|endoftext|>" +PARAMETER temperature 1.5 +PARAMETER min_p 0.1 +SYSTEM """You are Qwen, created by Alibaba Cloud. You are a helpful assistant.""" \ No newline at end of file diff --git a/Qwen2.5-7B-Instruct.Q4_K_M.gguf b/Qwen2.5-7B-Instruct.Q4_K_M.gguf new file mode 100644 index 0000000..5c9f757 --- /dev/null +++ b/Qwen2.5-7B-Instruct.Q4_K_M.gguf @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:e3bd79351a62ed40b80c5f921991105d8b77113cab608f61ac2ed2a1f00f4a09 +size 4683073568 diff --git a/README.md b/README.md new file mode 100644 index 0000000..9fa72c5 --- /dev/null +++ b/README.md @@ -0,0 +1,137 @@ +--- +license: apache-2.0 +base_model: Qwen/Qwen2.5-7B-Instruct +tags: + - text-generation + - shell + - bash + - code + - qlora + - unsloth +language: + - en +datasets: + - AuricErgeson/text-to-shell-dataset +pipeline_tag: text-generation +--- + +# ShellWhiz-7B + +A fine-tune of Qwen2.5-7B-Instruct that turns a plain-English request into a shell command. Type what you want to do, get back `find`, `grep`, `docker`, `git`, or whatever fits. + +## Why this exists + +I wanted something I could actually type "show me the 5 biggest files in this folder" into and get a working `du`/`sort`/`head` pipeline back, instead of half-remembering the flags myself. There are commercial tools that do this (Warp, some IDE plugins), but I couldn't find a small open model that just did the one thing well, so I built one. + +## What it's good at + +Trained on 697 natural-language-to-shell-command pairs covering: + +- File and directory operations (`find`, `cp`, `mv`, `rm`, `chmod`, `du`) +- Text processing (`grep`, `sed`, `awk`, `sort`, `cut`) +- Git workflows +- Docker and docker-compose +- Process management (`ps`, `kill`, `systemctl`) +- Networking (`curl`, `ssh`, `scp`, `ping`) +- Archiving and package management (`tar`, `zip`, `apt`, `pip`, `npm`) + +## Examples + +These are from the actual post-training sanity check, not cherry-picked from the training set: + +``` +> find all python files modified in the last 24 hours +find -name '*.py' -mtime -1 + +> show me the 5 largest files in this directory +find . -type f -exec du -h {} + | sort -rh | head -5 + +> list all running docker containers +docker ps +``` + +The `` placeholder is intentional. The model was trained to use placeholders where a real path would depend on context, rather than guessing one. + +## Usage + +```python +from transformers import AutoModelForCausalLM, AutoTokenizer +import torch + +model_name = "AuricErgeson/shellwhiz-7b" +tokenizer = AutoTokenizer.from_pretrained(model_name) +model = AutoModelForCausalLM.from_pretrained(model_name, torch_dtype=torch.float16, device_map="auto") + +system_msg = "You are a helpful assistant that converts natural language requests into precise shell commands. Respond with ONLY the shell command, no explanation." + +messages = [ + {"role": "system", "content": system_msg}, + {"role": "user", "content": "find all files larger than 100MB"}, +] + +inputs = tokenizer.apply_chat_template(messages, tokenize=True, add_generation_prompt=True, return_tensors="pt").to(model.device) +outputs = model.generate(inputs, max_new_tokens=100, temperature=0.1) +print(tokenizer.decode(outputs[0][inputs.shape[1]:], skip_special_tokens=True)) +``` + +A GGUF (q4_k_m) build is also available in this repo if you want to run it locally through Ollama or llama.cpp. + +## Training details + +- **Base model:** Qwen2.5-7B-Instruct +- **Method:** QLoRA (4-bit), rank 16, alpha 16, no dropout +- **Trainable parameters:** 40,370,176 of 7,655,986,688 (0.53 percent) +- **Hardware:** single T4 GPU, Google Colab free tier +- **Epochs:** 3, 264 total steps, effective batch size 8 +- **Training time:** about 17 minutes + +Loss dropped from 2.96 at step 10 to 0.18 by the end of training and flattened out around step 190, with no spikes or divergence: + +| Step | Loss | +|------|------| +| 10 | 2.960 | +| 50 | 0.391 | +| 100 | 0.268 | +| 150 | 0.258 | +| 200 | 0.188 | +| 260 | 0.188 | + +## Evaluation + +I ran the model against 105 held-out prompts it never saw during training, phrased differently +from the training set on purpose to test generalization rather than recall. Each output was +judged by Claude against a known-correct reference command, allowing for different-but-equivalent +approaches (there's rarely only one right way to write a shell command). + +| Verdict | Count | Percent | +|---------|-------|---------| +| Correct | 58 | 55.2% | +| Partial (right idea, has a bug) | 26 | 24.8% | +| Wrong | 21 | 20.0% | + +Syntax validity (does `bash -n` parse it without error) came out at 100/105, or 95.2 percent. +The five syntax failures were almost all cases where the model left a bracketed placeholder like +`` or `` in a spot where bash needs an actual token, which reads as a +formatting habit rather than the model not understanding the command it's building. + +The wrong and partial cases cluster into a few recognizable patterns, worth knowing before you +rely on this for anything important: + +- **Hallucinated flags.** A couple of failures invented flags that don't exist on the real tool + (`docker images --sort`, `pkill --exclude`). These would fail immediately with an error, so + at least they're not silently wrong. +- **Negation and inversion.** When a prompt asks for something to be turned *off* or a filter to + be the *inverse* of the obvious reading, the model sometimes gets the polarity backwards + (e.g. batch mode requested off, model turns it on). +- **Dropped constraints on multi-part requests.** Given an instruction with two or three + requirements stacked together (filter by host AND connection state, auto-remove AND port map), + the model sometimes satisfies one and quietly drops another. +- **Leftover placeholders when a real value was given.** A few outputs used `:` + style placeholders even when the prompt spelled out a concrete value like `nginx:latest`. + +None of this is surprising for 700 training examples on a 7B model, but it's worth knowing which +categories to double check rather than trusting blindly. + +## Dataset + +The training data is published separately at [AuricErgeson/text-to-shell-dataset](https://huggingface.co/datasets/AuricErgeson/text-to-shell-dataset), generated synthetically and deduplicated on instruction text. \ No newline at end of file diff --git a/chat_template.jinja b/chat_template.jinja new file mode 100644 index 0000000..bdf7919 --- /dev/null +++ b/chat_template.jinja @@ -0,0 +1,54 @@ +{%- if tools %} + {{- '<|im_start|>system\n' }} + {%- if messages[0]['role'] == 'system' %} + {{- messages[0]['content'] }} + {%- else %} + {{- 'You are Qwen, created by Alibaba Cloud. You are a helpful assistant.' }} + {%- endif %} + {{- "\n\n# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within XML tags:\n" }} + {%- for tool in tools %} + {{- "\n" }} + {{- tool | tojson }} + {%- endfor %} + {{- "\n\n\nFor each function call, return a json object with function name and arguments within XML tags:\n\n{\"name\": , \"arguments\": }\n<|im_end|>\n" }} +{%- else %} + {%- if messages[0]['role'] == 'system' %} + {{- '<|im_start|>system\n' + messages[0]['content'] + '<|im_end|>\n' }} + {%- else %} + {{- '<|im_start|>system\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\n' }} + {%- endif %} +{%- endif %} +{%- for message in messages %} + {%- if (message.role == "user") or (message.role == "system" and not loop.first) or (message.role == "assistant" and not message.tool_calls) %} + {{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }} + {%- elif message.role == "assistant" %} + {{- '<|im_start|>' + message.role }} + {%- if message.content %} + {{- '\n' + message.content }} + {%- endif %} + {%- for tool_call in message.tool_calls %} + {%- if tool_call.function is defined %} + {%- set tool_call = tool_call.function %} + {%- endif %} + {{- '\n\n{"name": "' }} + {{- tool_call.name }} + {{- '", "arguments": ' }} + {{- tool_call.arguments | tojson }} + {{- '}\n' }} + {%- endfor %} + {{- '<|im_end|>\n' }} + {%- elif message.role == "tool" %} + {%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != "tool") %} + {{- '<|im_start|>user' }} + {%- endif %} + {{- '\n\n' }} + {{- 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You are a helpful assistant.<|im_end|>\\n' }}\n {%- endif %}\n{%- endif %}\n{%- for message in messages %}\n {%- if (message.role == \"user\") or (message.role == \"system\" and not loop.first) or (message.role == \"assistant\" and not message.tool_calls) %}\n {{- '<|im_start|>' + message.role + '\\n' + message.content + '<|im_end|>' + '\\n' }}\n {%- elif message.role == \"assistant\" %}\n {{- '<|im_start|>' + message.role }}\n {%- if message.content %}\n {{- '\\n' + message.content }}\n {%- endif %}\n {%- for tool_call in message.tool_calls %}\n {%- if tool_call.function is defined %}\n {%- set tool_call = tool_call.function %}\n {%- endif %}\n {{- '\\n\\n{\"name\": \"' }}\n {{- tool_call.name }}\n {{- '\", \"arguments\": ' }}\n {{- tool_call.arguments | tojson }}\n {{- '}\\n' }}\n {%- endfor %}\n {{- '<|im_end|>\\n' }}\n {%- elif message.role == \"tool\" %}\n {%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != \"tool\") %}\n {{- '<|im_start|>user' }}\n {%- endif %}\n {{- '\\n\\n' }}\n {{- message.content }}\n {{- '\\n' }}\n {%- if loop.last or (messages[loop.index0 + 1].role != \"tool\") %}\n {{- '<|im_end|>\\n' }}\n {%- endif %}\n {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n {{- '<|im_start|>assistant\\n' }}\n{%- endif %}\n" +} \ No newline at end of file