p-doom/crowd-code-dataset-0.2 huggingface dataset:
[content] slurm/dev/mihir/berlin/crowd_pilot/evaluate/handcrafted/eval_miles_run.sh (shellscript)
    python src/evaluation/sglang_generations.py \
        --test_cases_file $test_cases_file \
        --generations_file $generations_file \
        --system_prompt_file "data/prompts/swe_mini_v1.md" \
        --context_length $context_length \
        --server_host $generator_host \
        --server_port $generator_port \
        --temperature $temperature \
        --top_p $top_p \
        --top_k $top_k \
        --min_p $min_p \
        --num_samples $num_samples \
        --mem_fraction_static 0.80 \
        --tp_size 2 \
        ${GENERATION_ARGS[@]}
[content] slurm/dev/mihir/berlin/crowd_pilot/evaluate/handcrafted/eval_miles_run.sh (shellscript)
    python src/evaluation/sglang_eval.py \
    --wandb_name $wandb_name \
    --wandb_id run_$run_id \
    --generations_file $generations_file \
    --evaluations_file $evaluations_file \
    --judge_model_path $judge_model_path \
    --server_host $judge_host \
    --server_port $judge_port \
    --context_length $judge_context_length \
    --judge_prompt_file $judge_prompt_file \
    --temperature $temperature \
    --wandb_eval_type $wandb_eval_type \
    --eval_step $step \
    --no_launch_server
[content] slurm/dev/mihir/berlin/crowd_pilot/evaluate/handcrafted/eval_miles_run.sh (shellscript)

    python src/evaluation/sglang_eval.py \
    --wandb_name $wandb_name \
    --wandb_id run_$run_id \
    --generations_file $generations_file \
    --evaluations_file $evaluations_file \
    --judge_model_path $judge_model_path \
    --server_host $judge_host \
    --server_port $judge_port \
    --context_length $judge_context_length \
    --judge_prompt_file $judge_prompt_file \
    --temperature $temperature \
    --wandb_eval_type $wandb_eval_type \
    --eval_step $step \
    --no_launch_server
[tab] slurm/jobs/mihir/berlin/crowd-pilot/dev_fleet/run_sqwen3-0.6b-sft-torch-crowd-code.sh (shellscript)
#!/usr/bin/env bash

#SBATCH --nodes=1
#SBATCH --ntasks-per-node=1
#SBATCH --time=24:00:00
#SBATCH --cpus-per-task=5
#SBATCH --gres=gpu:4
#SBATCH --mem=600GB
#SBATCH --signal=USR1@60
#SBATCH --output=/fast/project/HFMI_SynergyUnit/mihir/logs/train/qwen3-1.7Bb-sft-torch-crowd-code/%x_%j.log
#SBATCH --error=/fast/project/HFMI_SynergyUnit/mihir/logs/train/qwen3-1.7Bb-sft-torch-crowd-code/%x_%j.log
#SBATCH --job-name=run_qwen3-1.6b-sft-torch-crowd-code
#SBATCH --qos=low


trap 'echo "Job killed by signal"' USR1

cat $0
module load CUDA/12.8

source .venv/bin/activate

srun sh slurm/jobs/mihir/berlin/crowd-pilot/dev_fleet/qwen_1.7b_no_lora_bs_32.sh
[tab] tab-model-eval/data/prompts/swe_mini_v1.md (markdown)
You are a helpful assistant that can interact multiple times with a computer shell to solve programming tasks.
Your response must contain exactly ONE bash code block with ONE command (or commands connected with && or ||).

Format your response as shown in <format_example>.

<format_example>
```bash
your_command_here
```
</format_example>

Failure to follow these rules will cause your response to be rejected.
[content] tab-model-eval/.gitignore (ignore)
# django stuff:
*.log
local_settings.py
db.sqlite3
db.sqlite3-journal

# flask stuff:
instance/
.webassets-cache

# scrapy stuff:
.scrapy

# sphinx documentation
docs/_build/

# pybuilder
.pybuilder/
target/
[content] tab-model-eval/.gitignore (ignore)
# Django stuff:
*.log
local_settings.py
db.sqlite3
db.sqlite3-journal

# Flask stuff:
instance/
.webassets-cache

# Scrapy stuff:
.scrapy

# Sphinx documentation
docs/_build/

# PyBuilder
.pybuilder/
target/