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Author SHA1 Message Date
Benson Wong fb7c808082 add timing for Process start, stop, total request time (#91) 2025-04-14 14:34:59 -07:00
Benson Wong a7e640b0f7 add aider example 2025-04-07 12:37:14 -07:00
6 changed files with 270 additions and 1 deletions
+1 -1
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@@ -3,7 +3,7 @@
healthCheckTimeout: 90
# valid log levels: debug, info (default), warn, error
logLevel: info
logLevel: debug
models:
"llama":
+153
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@@ -0,0 +1,153 @@
# aider, QwQ, Qwen-Coder 2.5 and llama-swap
This guide show how to use aider and llama-swap to get a 100% local coding co-pilot setup. The focus is on the trickest part which is configuring aider, llama-swap and llama-server to work together.
## Here's what you you need:
- aider - [installation docs](https://aider.chat/docs/install.html)
- llama-server - [download latest release](https://github.com/ggml-org/llama.cpp/releases)
- llama-swap - [download latest release](https://github.com/mostlygeek/llama-swap/releases)
- [QwQ 32B](https://huggingface.co/bartowski/Qwen_QwQ-32B-GGUF) and [Qwen Coder 2.5 32B](https://huggingface.co/bartowski/Qwen2.5-Coder-32B-Instruct-GGUF) models
- 24GB VRAM video card
## Running aider
The goal is getting this command line to work:
```sh
aider --architect \
--no-show-model-warnings \
--model openai/QwQ \
--editor-model openai/qwen-coder-32B \
--model-settings-file aider.model.settings.yml \
--openai-api-key "sk-na" \
--openai-api-base "http://10.0.1.24:8080/v1" \
```
Set `--openai-api-base` to the IP and port where your llama-swap is running.
## Create an aider model settings file
```yaml
# aider.model.settings.yml
#
# !!! important: model names must match llama-swap configuration names !!!
#
- name: "openai/QwQ"
edit_format: diff
extra_params:
max_tokens: 16384
top_p: 0.95
top_k: 40
presence_penalty: 0.1
repetition_penalty: 1
num_ctx: 16384
use_temperature: 0.6
reasoning_tag: think
weak_model_name: "openai/qwen-coder-32B"
editor_model_name: "openai/qwen-coder-32B"
- name: "openai/qwen-coder-32B"
edit_format: diff
extra_params:
max_tokens: 16384
top_p: 0.8
top_k: 20
repetition_penalty: 1.05
use_temperature: 0.6
reasoning_tag: think
editor_edit_format: editor-diff
editor_model_name: "openai/qwen-coder-32B"
```
## llama-swap configuration
```yaml
# config.yaml
# The parameters are tweaked to fit model+context into 24GB VRAM GPUs
models:
"qwen-coder-32B":
proxy: "http://127.0.0.1:8999"
cmd: >
/path/to/llama-server
--host 127.0.0.1 --port 8999 --flash-attn --slots
--ctx-size 16000
--cache-type-k q8_0 --cache-type-v q8_0
-ngl 99
--model /path/to/Qwen2.5-Coder-32B-Instruct-Q4_K_M.gguf
"QwQ":
proxy: "http://127.0.0.1:9503"
cmd: >
/path/to/llama-server
--host 127.0.0.1 --port 9503 --flash-attn --metrics--slots
--cache-type-k q8_0 --cache-type-v q8_0
--ctx-size 32000
--samplers "top_k;top_p;min_p;temperature;dry;typ_p;xtc"
--temp 0.6 --repeat-penalty 1.1 --dry-multiplier 0.5
--min-p 0.01 --top-k 40 --top-p 0.95
-ngl 99
--model /mnt/nvme/models/bartowski/Qwen_QwQ-32B-Q4_K_M.gguf
```
## Advanced, Dual GPU Configuration
If you have _dual 24GB GPUs_ you can use llama-swap profiles to avoid swapping between QwQ and Qwen Coder.
In llama-swap's configuration file:
1. add a `profiles` section with `aider` as the profile name
2. using the `env` field to specify the GPU IDs for each model
```yaml
# config.yaml
# Add a profile for aider
profiles:
aider:
- qwen-coder-32B
- QwQ
models:
"qwen-coder-32B":
# manually set the GPU to run on
env:
- "CUDA_VISIBLE_DEVICES=0"
proxy: "http://127.0.0.1:8999"
cmd: /path/to/llama-server ...
"QwQ":
# manually set the GPU to run on
env:
- "CUDA_VISIBLE_DEVICES=1"
proxy: "http://127.0.0.1:9503"
cmd: /path/to/llama-server ...
```
Append the profile tag, `aider:`, to the model names in the model settings file
```yaml
# aider.model.settings.yml
- name: "openai/aider:QwQ"
weak_model_name: "openai/aider:qwen-coder-32B-aider"
editor_model_name: "openai/aider:qwen-coder-32B-aider"
- name: "openai/aider:qwen-coder-32B"
editor_model_name: "openai/aider:qwen-coder-32B-aider"
```
Run aider with:
```sh
$ aider --architect \
--no-show-model-warnings \
--model openai/aider:QwQ \
--editor-model openai/aider:qwen-coder-32B \
--config aider.conf.yml \
--model-settings-file aider.model.settings.yml
--openai-api-key "sk-na" \
--openai-api-base "http://10.0.1.24:8080/v1"
```
@@ -0,0 +1,28 @@
# this makes use of llama-swap's profile feature to
# keep the architect and editor models in VRAM on different GPUs
- name: "openai/aider:QwQ"
edit_format: diff
extra_params:
max_tokens: 16384
top_p: 0.95
top_k: 40
presence_penalty: 0.1
repetition_penalty: 1
num_ctx: 16384
use_temperature: 0.6
reasoning_tag: think
weak_model_name: "openai/aider:qwen-coder-32B"
editor_model_name: "openai/aider:qwen-coder-32B"
- name: "openai/aider:qwen-coder-32B"
edit_format: diff
extra_params:
max_tokens: 16384
top_p: 0.8
top_k: 20
repetition_penalty: 1.05
use_temperature: 0.6
reasoning_tag: think
editor_edit_format: editor-diff
editor_model_name: "openai/aider:qwen-coder-32B"
@@ -0,0 +1,26 @@
- name: "openai/QwQ"
edit_format: diff
extra_params:
max_tokens: 16384
top_p: 0.95
top_k: 40
presence_penalty: 0.1
repetition_penalty: 1
num_ctx: 16384
use_temperature: 0.6
reasoning_tag: think
weak_model_name: "openai/qwen-coder-32B"
editor_model_name: "openai/qwen-coder-32B"
- name: "openai/qwen-coder-32B"
edit_format: diff
extra_params:
max_tokens: 16384
top_p: 0.8
top_k: 20
repetition_penalty: 1.05
use_temperature: 0.6
reasoning_tag: think
editor_edit_format: editor-diff
editor_model_name: "openai/qwen-coder-32B"
+49
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@@ -0,0 +1,49 @@
healthCheckTimeout: 300
logLevel: debug
profiles:
aider:
- qwen-coder-32B
- QwQ
models:
"qwen-coder-32B":
env:
- "CUDA_VISIBLE_DEVICES=0"
aliases:
- coder
proxy: "http://127.0.0.1:8999"
# set appropriate paths for your environment
cmd: >
/path/to/llama-server
--host 127.0.0.1 --port 8999 --flash-attn --slots
--ctx-size 16000
--ctx-size-draft 16000
--model /path/to/Qwen2.5-Coder-32B-Instruct-Q4_K_M.gguf
--model-draft /path/to/Qwen2.5-Coder-1.5B-Instruct-Q8_0.gguf
-ngl 99 -ngld 99
--draft-max 16 --draft-min 4 --draft-p-min 0.4
--cache-type-k q8_0 --cache-type-v q8_0
"QwQ":
env:
- "CUDA_VISIBLE_DEVICES=1"
proxy: "http://127.0.0.1:9503"
# set appropriate paths for your environment
cmd: >
/path/to/llama-server
--host 127.0.0.1 --port 9503
--flash-attn --metrics
--slots
--model /path/to/Qwen_QwQ-32B-Q4_K_M.gguf
--cache-type-k q8_0 --cache-type-v q8_0
--ctx-size 32000
--samplers "top_k;top_p;min_p;temperature;dry;typ_p;xtc"
--temp 0.6
--repeat-penalty 1.1
--dry-multiplier 0.5
--min-p 0.01
--top-k 40
--top-p 0.95
-ngl 99 -ngld 99
+13
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@@ -303,6 +303,11 @@ func (p *Process) Shutdown() {
// stopCommand will send a SIGTERM to the process and wait for it to exit.
// If it does not exit within 5 seconds, it will send a SIGKILL.
func (p *Process) stopCommand(sigtermTTL time.Duration) {
stopStartTime := time.Now()
defer func() {
p.proxyLogger.Debugf("Process [%s] stopCommand took %v", p.ID, time.Since(stopStartTime))
}()
sigtermTimeout, cancelTimeout := context.WithTimeout(context.Background(), sigtermTTL)
defer cancelTimeout()
@@ -369,6 +374,8 @@ func (p *Process) checkHealthEndpoint(healthURL string) error {
}
func (p *Process) ProxyRequest(w http.ResponseWriter, r *http.Request) {
requestBeginTime := time.Now()
var startDuration time.Duration
// prevent new requests from being made while stopping or irrecoverable
currentState := p.CurrentState()
@@ -385,11 +392,13 @@ func (p *Process) ProxyRequest(w http.ResponseWriter, r *http.Request) {
// start the process on demand
if p.CurrentState() != StateReady {
beginStartTime := time.Now()
if err := p.start(); err != nil {
errstr := fmt.Sprintf("unable to start process: %s", err)
http.Error(w, errstr, http.StatusBadGateway)
return
}
startDuration = time.Since(beginStartTime)
}
proxyTo := p.config.Proxy
@@ -433,4 +442,8 @@ func (p *Process) ProxyRequest(w http.ResponseWriter, r *http.Request) {
return
}
}
totalTime := time.Since(requestBeginTime)
p.proxyLogger.Debugf("Process [%s] request %s - start: %v, total: %v",
p.ID, r.RequestURI, startDuration, totalTime)
}