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* llama-eval : add per-problem summary table to HTML reports
- Add chunk_idx and problem_idx to TaskState and saved case dicts
- Group completed cases by problem_idx in dump_html()
- Render per-problem summary table before individual task table
- Columns: Problem (zero-padded), Runs, Correct (n/r),
Tokens (min/avg/max), T/s (min/avg/max), Gen s (min/avg/max)
- Sorted by problem index, monospace font, right-aligned numbers
- Colspan headers for grouped stats, auto width
- Simulator: add /v1/models endpoint, timings in response,
template-aware question matching, --dataset arg (aime/aime2025)
Assisted-by: llama.cpp:local pi
* llama-eval : add tabs for Detailed and Summary tables, apply monospace font globally
- Wrap Detailed and Summary tables in switchable tabs (Detailed active by default)
- Remove summary-section wrapper, use tab labels instead
- Apply monospace font to all tables and the top bar
Assisted-by: llama.cpp:local pi
* llama-eval : redesign top bar as CSS grid label/value pairs
- Replace flat span list with 4-column grid layout (2 pairs per row)
- Labels in muted color (#888), values in dark (#222)
- Bold dataset name and model name
- Removed media query, always uses 4 columns
Assisted-by: llama.cpp:local pi
* llama-eval : use realistic token counts and throughput in simulator
- comp_tokens: [30, 80] → [10000, 60000]
- tps_gen: derived → uniform [90.0, 110.0]
- t_gen_ms: now computed from tokens/tps
Assisted-by: llama.cpp:local pi
* llama-eval : color Answer column green/red based on correctness
Use the same .correct/.incorrect CSS classes on the Answer column
to make correct answers green and incorrect answers red.
Assisted-by: llama.cpp:local pi
* llama-eval : fix pyright errors from max(..., key=len) type inference
Use key=lambda x: len(x) instead of key=len so the type checker
infers the return type as str instead of Sized, fixing:
- unresolved-attribute: Object of type Sized has no attribute lower
- not-subscriptable: Cannot subscript object of type Sized
Assisted-by: llama.cpp:local pi
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|---|---|---|
| .. | ||
| llama-eval.py | ||
| llama-server-simulator.py | ||
| README.md | ||
| test-simulator.sh | ||
llama-eval
Simple evaluation tool for llama.cpp with support for multiple datasets.
For a full description, usage examples, and sample results, see:
Quick start
# Single server
python3 llama-eval.py \
--server http://localhost:8033 \
--model my-model \
--dataset gsm8k --n_cases 100 \
--grader-type regex --threads 32
# Multiple servers (comma-separated URLs and thread counts)
python3 llama-eval.py \
--server http://server1:8033,http://server2:8033 \
--server-name server1,server2 \
--threads 16,16 \
--dataset aime2025 --n_cases 240 \
--grader-type regex