Add Spark-X2.5 1.7B GGUF quantizations

.gitattributes

@@ -33,3 +33,15 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+Spark-X2.5-1.7B-IQ1_M.gguf filter=lfs diff=lfs merge=lfs -text
+Spark-X2.5-1.7B-IQ2_XS.gguf filter=lfs diff=lfs merge=lfs -text
+Spark-X2.5-1.7B-Q1_0.gguf filter=lfs diff=lfs merge=lfs -text
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+Spark-X2.5-1.7B-Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
+reproducibility/spark25_1.7b_combined.imatrix.gguf filter=lfs diff=lfs merge=lfs -text
+reproducibility/spark25_1.7b_vn_code_agent.imatrix.gguf filter=lfs diff=lfs merge=lfs -text
+reproducibility/spark25_1.7b_wiki.imatrix.gguf filter=lfs diff=lfs merge=lfs -text

LICENSE

@@ -0,0 +1,202 @@
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README.md

@@ -0,0 +1,93 @@
+---
+license: apache-2.0
+base_model: XHToken/Spark-X2.5-1.7B
+library_name: llama.cpp
+pipeline_tag: text-generation
+tags:
+- gguf
+- llama.cpp
+- spark2_5
+- quantized
+- text-generation
+---
+
+# Spark-X2.5-1.7B GGUF
+
+Unofficial community GGUF quantizations of
+[XHToken/Spark-X2.5-1.7B](https://huggingface.co/XHToken/Spark-X2.5-1.7B).
+This repository contains nine quantized files for local inference. No
+training or fine-tuning was performed.
+
+## Files
+
+| Quantization | Size | GPU0 generation | Recommendation |
+|---|---:|---:|---|
+| Q8_0 | 1.70 GiB | 175.54 tok/s | High quality |
+| Q6_K | 1.31 GiB | 199.07 tok/s | High quality |
+| Q5_K_M | 1.17 GiB | 223.04 tok/s | Daily use |
+| Q4_K_M | 1.03 GiB | 241.87 tok/s | Recommended default |
+| Q3_K_M | 0.87 GiB | 203.60 tok/s | Lower memory |
+| Q2_K | 0.74 GiB | 231.70 tok/s | Aggressive |
+| IQ2_XS | 0.61 GiB | 245.03 tok/s | Experimental |
+| IQ1_M | 0.54 GiB | 252.02 tok/s | Experimental |
+| Q1_0 | 0.40 GiB | 336.65 tok/s | Experimental / legacy |
+
+The speed figures are single-stream `llama-bench` readings on one NVIDIA
+A10M, with 256 prompt tokens, 64 generated tokens, 64 CPU threads, 99 GPU
+layers, and three repetitions. They are not quality scores or universal
+hardware benchmarks.
+
+Q1/Q2 and the IQ variants can lose instruction following, reasoning, and
+tool-call reliability. Validate the chosen file on the workload that matters
+to you.
+
+## Quick start
+
+Use the Spark-compatible build of
+[XHToken/llama.cpp](https://github.com/XHToken/llama.cpp):
+
+```bash
+./build/bin/llama-cli \
+  -m Spark-X2.5-1.7B-Q4_K_M.gguf \
+  -p "Explain GGUF quantization in one paragraph." \
+  -c 4096 \
+  --single-turn
+```
+
+The tokenizer and chat template metadata are embedded in each GGUF. The
+native context limit is advertised upstream as up to 1M tokens, but that
+requires substantial KV-cache memory and was not validated here.
+
+## Build and validation
+
+The files were converted and quantized with XHToken's Spark-enabled
+llama.cpp at commit `4a3635c32fc9f044c2bde9ebeabf50c7e1ec5991`.
+
+- BF16 conversion: PASS
+- CPU smoke test: 9/9 PASS
+- GPU0 smoke test: 9/9 PASS
+- GPU0 benchmark: 10 configurations, three repetitions each
+- Perplexity comparison: BF16 plus nine quantizations
+
+The quantized outputs were generated directly from the official
+`Spark-X2.5-1.7B.gguf` conversion. Q8_0 uses no importance matrix; all other
+files use the model-specific combined matrix included under
+`reproducibility/`.
+
+Portable scripts, manifests, calibration matrices, and validation summaries
+are in [`reproducibility/`](reproducibility/). The original BF16 source and
+the llama.cpp build are not duplicated in this repo; set `SOURCE` and
+`LLAMA_CPP` when reproducing locally.
+
+## License and attribution
+
+The upstream model is released under Apache License 2.0. Preserve the
+upstream attribution and license when redistributing these derivative files.
+This is an unofficial quantization and is not endorsed by XHToken/SparkLLM.
+
+Checksums are available in [`SHA256SUMS.txt`](SHA256SUMS.txt).
+
+If this quantization saved you time, VRAM, or compute cost, consider leaving
+a small tip. It helps fund future quantizations.
+
+☕ [Support me on Ko-fi](https://ko-fi.com/ngquocvinh)

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chat_template.jinja

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+{#- 0826版本 -#}
+{%- if not messages %}
+    {{- raise_exception('No messages provided.') }}
+{%- endif %}
+{%- set enable_thinking = enable_thinking | default(true) %}
+
+{#- Render a string or a list of text blocks. -#}
+{%- macro render_content(content, context_name) %}
+    {%- if content is string %}
+        {{- content }}
+    {%- elif content is none or content is undefined %}
+        {{- '' }}
+    {%- elif content is iterable and content is not mapping %}
+        {%- for block in content %}
+            {%- if block.type == 'text' %}
+                {{- block.text }}
+            {%- else %}
+                {{- raise_exception('Unsupported ' ~ context_name ~ ' content block type: ' ~ (block.type | string)) }}
+            {%- endif %}
+        {%- endfor %}
+    {%- else %}
+        {{- raise_exception(context_name ~ ' content must be a string or a list of text blocks') }}
+    {%- endif %}
+{%- endmacro %}
+
+{#- Default system prompt -#}
+{%- set default_system = "you are a helpful assistant." %}
+
+{#- The first message-level system is placed in the initial system block. -#}
+{%- set ns = namespace(initial_system='') %}
+{%- if messages[0].role == "system" %}
+    {%- set ns.initial_system = render_content(messages[0].content, 'system') %}
+{%- endif %}
+
+{#- System block -#}
+{{- '<｜start▁of▁sentence｜><|System|>' + '\n' + default_system }}
+{%- if tools %}
+    {{- '## Tools' + '\n' + 'You have access to the following functions:' + '\n' + '<tools>' }}
+    {%- for tool in tools %}
+        {{- '\n' + tool.function | tojson}}
+    {%- endfor %}
+    {{- '\n' + '</tools>' }}
+{%- endif %}
+{%- if ns.initial_system %}
+    {{- '\n\n' + ns.initial_system }}
+{%- endif %}
+{{- '<｜end▁of▁sentence｜>'}}
+
+{#- Conversation turns -#}
+{%- for message in messages %}
+    {%- if message.role == "system" %}
+        {#- The first system message was consumed by the initial block. -#}
+        {%- if not loop.first %}
+            {{- '<｜start▁of▁sentence｜><|System|>\n' + render_content(message.content, 'system') + '<｜end▁of▁sentence｜>' }}
+        {%- endif %}
+    {%- elif message.role == "user" %}
+        {{- '<｜start▁of▁sentence｜><|User|>' + render_content(message.content, 'user') + '<｜end▁of▁sentence｜>' }}
+    {%- elif message.role == "assistant" %}
+        {%- set assistant_content = render_content(message.content, 'assistant') %}
+        {%- if message.reasoning_content is defined and message.reasoning_content %}
+            {%- set reasoning_content = message.reasoning_content %}
+        {%- else %}
+            {%- set reasoning_content = '' %}
+        {%- endif %}
+        {{- '<｜start▁of▁sentence｜><|Bot|>'}}
+        {%- if reasoning_content %}
+            {{- '<think>' + reasoning_content + '</think>'}}
+        {%- else %}
+            {{- '</think>' }}
+        {%- endif %}
+        {%- if assistant_content %}
+            {{- assistant_content }}
+        {%- endif %}
+        {%- if message.tool_calls is defined and message.tool_calls is not none %}
+            {%- for tool_call in message.tool_calls %}
+                {%- if tool_call.function.arguments is not mapping %}
+                    {{- raise_exception('tool_call.function.arguments must be a dictionary; normalize JSON strings before apply_chat_template') }}
+                {%- endif %}
+                {%- set args = tool_call.function.arguments %}
+                {{- '<tool_call>' + tool_call.function.name }}
+                {%- for k, v in args.items() %}
+                    {{- '<arg_key>' ~ k ~ '</arg_key><arg_value>' ~ (v if v is string else v | tojson) ~ '</arg_value>' }}
+                {%- endfor %}
+                {{- '</tool_call>' }}
+            {%- endfor %}
+        {%- endif %}
+        {{- '<｜end▁of▁sentence｜>' }}
+    {%- elif message.role == "tool" %}
+        {%- if loop.previtem is undefined or loop.previtem.role != "tool" %}
+            {{- '<｜start▁of▁sentence｜><|Tool|>' }}
+        {%- endif %}
+        {{- '<tool_response>' ~ message.content ~ '</tool_response>' }}
+        {%- if loop.nextitem is undefined or loop.nextitem.role != "tool" %}
+            {{- '<｜end▁of▁sentence｜>' }}
+        {%- endif %}
+    {%- else %}
+        {{- raise_exception('Unsupported message role: ' ~ message.role) }}
+    {%- endif %}
+{%- endfor %}
+
+{#- Generation prompt -#}
+{%- if add_generation_prompt %}
+    {{- '<｜start▁of▁sentence｜><|Bot|>' }}
+    {%- if enable_thinking is defined and enable_thinking %}
+        {{- '<think>' }}
+    {%- endif %}
+    {%- if enable_thinking is defined and not enable_thinking %}
+        {{- '</think>' }}
+    {%- endif %}
+{%- endif %}

reproducibility/README.md

@@ -0,0 +1,42 @@
+# Spark-X2.5-1.7B reproducibility
+
+This directory contains the reproducible conversion, calibration,
+quantization, smoke-test, and benchmark scripts for Spark-X2.5-1.7B.
+
+## Source and conversion
+
+- Source: `../source-hf-1.7b/`
+- Converted source: `../source-official-bf16-1.7b/Spark-X2.5-1.7B.gguf`
+- Converter: `../tools-llama.cpp-spark/convert_hf_to_gguf.py`
+- llama.cpp commit: `4a3635c32fc9f044c2bde9ebeabf50c7e1ec5991`
+- Architecture: `Spark2_5ForCausalLM` / `spark2_5`
+
+The converter dry-run and full conversion both completed successfully. The
+source uses a 1,048,576-token native position limit and a 512-token sliding
+window; the serving profile intentionally caps active context at 65,536.
+
+## Calibration and quantization
+
+The imatrix is model-specific and combines:
+
+- 5 chunks from `../calibration/spark25_vn_code_agent.txt`
+- 96 chunks from `../calibration/wikitext-2-raw/wiki.test.raw`
+- 101 chunks total in `spark25_1.7b_combined.imatrix.gguf`
+
+Run the ladder with:
+
+```sh
+bash quantize_ladder.sh
+bash smoke_test_ladder.sh
+bash perplexity_ladder.sh
+```
+
+GPU0 smoke and benchmark require the GPU0 model services to be stopped first:
+
+```sh
+bash gpu_smoke_test_ladder.sh
+bash benchmark_gpu0.sh
+```
+
+The scripts use the local XHToken Spark build and do not reuse the 4B
+imatrix.

reproducibility/benchmark_gpu0.sh

@@ -0,0 +1,51 @@
+#!/usr/bin/env bash
+set -euo pipefail
+
+SCRIPT_DIR="$(cd -- "$(dirname -- "${BASH_SOURCE[0]}")" && pwd)"
+PACKAGE_ROOT="$(cd -- "$SCRIPT_DIR/.." && pwd)"
+WORKSPACE_ROOT="${WORKSPACE_ROOT:-$PACKAGE_ROOT/..}"
+LLAMA_CPP="${LLAMA_CPP:-$WORKSPACE_ROOT/tools-llama.cpp-spark}"
+BENCH="${BENCH:-$LLAMA_CPP/build/bin/llama-bench}"
+SOURCE="${SOURCE:-$WORKSPACE_ROOT/source-official-bf16-1.7b/Spark-X2.5-1.7B.gguf}"
+MODEL_DIR="${MODEL_DIR:-$PACKAGE_ROOT}"
+THREADS="${THREADS:-64}"
+REPETITIONS="${REPETITIONS:-3}"
+OUTDIR="${OUTDIR:-$WORKSPACE_ROOT/reports/spark-1.7b/benchmark-gpu0}"
+RAW="$OUTDIR/llama-bench-raw"
+
+mkdir -p "$RAW"
+
+models=(
+  "BF16|$SOURCE"
+  "Q8_0|$MODEL_DIR/Spark-X2.5-1.7B-Q8_0.gguf"
+  "Q6_K|$MODEL_DIR/Spark-X2.5-1.7B-Q6_K.gguf"
+  "Q5_K_M|$MODEL_DIR/Spark-X2.5-1.7B-Q5_K_M.gguf"
+  "Q4_K_M|$MODEL_DIR/Spark-X2.5-1.7B-Q4_K_M.gguf"
+  "Q3_K_M|$MODEL_DIR/Spark-X2.5-1.7B-Q3_K_M.gguf"
+  "Q2_K|$MODEL_DIR/Spark-X2.5-1.7B-Q2_K.gguf"
+  "IQ2_XS|$MODEL_DIR/Spark-X2.5-1.7B-IQ2_XS.gguf"
+  "IQ1_M|$MODEL_DIR/Spark-X2.5-1.7B-IQ1_M.gguf"
+  "Q1_0|$MODEL_DIR/Spark-X2.5-1.7B-Q1_0.gguf"
+)
+
+for item in "${models[@]}"; do
+  label="${item%%|*}"
+  model="${item#*|}"
+  echo "benchmarking GPU0 $label"
+  CUDA_VISIBLE_DEVICES=0 "$BENCH" \
+    -m "$model" \
+    -p 256 \
+    -n 64 \
+    -r "$REPETITIONS" \
+    -b 512 \
+    -ub 512 \
+    -t "$THREADS" \
+    -ngl 99 \
+    --device CUDA0 \
+    -o csv \
+    >"$RAW/$label.csv" \
+    2>"$RAW/$label.stderr"
+done
+
+LLAMA_BENCH_REPETITIONS="$REPETITIONS" python3 "${SUMMARIZER:-$WORKSPACE_ROOT/reproducibility/summarize_bench.py}" "$RAW" "$OUTDIR/speed-summary.tsv"
+echo "benchmark artifacts: $OUTDIR"

reproducibility/gpu_smoke_test_ladder.sh

@@ -0,0 +1,50 @@
+#!/usr/bin/env bash
+set -u
+
+SCRIPT_DIR="$(cd -- "$(dirname -- "${BASH_SOURCE[0]}")" && pwd)"
+PACKAGE_ROOT="$(cd -- "$SCRIPT_DIR/.." && pwd)"
+LLAMA_CPP="${LLAMA_CPP:-$PACKAGE_ROOT/../tools-llama.cpp-spark}"
+CLI="${CLI:-$LLAMA_CPP/build/bin/llama-cli}"
+MODEL_DIR="${MODEL_DIR:-$PACKAGE_ROOT}"
+LOGDIR="${LOGDIR:-$PACKAGE_ROOT/../reports/spark-1.7b/smoke-tests-gpu0}"
+SUMMARY="${SUMMARY:-$PACKAGE_ROOT/../reports/spark-1.7b/smoke-test-gpu0.tsv}"
+
+mkdir -p "$LOGDIR"
+printf 'model\tstatus\tlog\n' > "$SUMMARY"
+
+models=(
+  Spark-X2.5-1.7B-Q8_0.gguf
+  Spark-X2.5-1.7B-Q6_K.gguf
+  Spark-X2.5-1.7B-Q5_K_M.gguf
+  Spark-X2.5-1.7B-Q4_K_M.gguf
+  Spark-X2.5-1.7B-Q3_K_M.gguf
+  Spark-X2.5-1.7B-Q2_K.gguf
+  Spark-X2.5-1.7B-IQ2_XS.gguf
+  Spark-X2.5-1.7B-IQ1_M.gguf
+  Spark-X2.5-1.7B-Q1_0.gguf
+)
+
+for model in "${models[@]}"; do
+  log="$LOGDIR/${model%.gguf}.log"
+  echo "testing GPU0 $model"
+  if CUDA_VISIBLE_DEVICES=0 timeout 180 "$CLI" \
+      -m "$MODEL_DIR/$model" \
+      -p 'Trả lời ngắn bằng tiếng Việt: GGUF là gì?' \
+      -n 48 \
+      -c 2048 \
+      -dev CUDA0 \
+      -ngl 99 \
+      --single-turn \
+      --simple-io \
+      --no-display-prompt \
+      --temp 0.2 \
+      --top-p 0.95 \
+      --seed 42 \
+      --log-verbosity 1 >"$log" 2>&1; then
+    status=PASS
+  else
+    status=FAIL
+  fi
+  printf '%s\t%s\t%s\n' "$model" "$status" "$log" >> "$SUMMARY"
+  echo "$status $model"
+done

reproducibility/perplexity_ladder.sh

@@ -0,0 +1,51 @@
+#!/usr/bin/env bash
+set -euo pipefail
+
+SCRIPT_DIR="$(cd -- "$(dirname -- "${BASH_SOURCE[0]}")" && pwd)"
+PACKAGE_ROOT="$(cd -- "$SCRIPT_DIR/.." && pwd)"
+WORKSPACE_ROOT="${WORKSPACE_ROOT:-$PACKAGE_ROOT/..}"
+LLAMA_CPP="${LLAMA_CPP:-$WORKSPACE_ROOT/tools-llama.cpp-spark}"
+PPL="${PPL:-$LLAMA_CPP/build/bin/llama-perplexity}"
+SOURCE="${SOURCE:-$WORKSPACE_ROOT/source-official-bf16-1.7b/Spark-X2.5-1.7B.gguf}"
+MODEL_DIR="${MODEL_DIR:-$PACKAGE_ROOT}"
+CALIBRATION_FILE="${CALIBRATION_FILE:-$WORKSPACE_ROOT/calibration/wikitext-2-raw/wiki.test.raw}"
+THREADS="${THREADS:-64}"
+OUTDIR="${OUTDIR:-$WORKSPACE_ROOT/reports/spark-1.7b/perplexity}"
+LOGDIR="$OUTDIR/logs"
+
+mkdir -p "$LOGDIR"
+
+models=(
+  "Spark-X2.5-1.7B|$SOURCE"
+  "Spark-X2.5-1.7B-Q8_0|$MODEL_DIR/Spark-X2.5-1.7B-Q8_0.gguf"
+  "Spark-X2.5-1.7B-Q6_K|$MODEL_DIR/Spark-X2.5-1.7B-Q6_K.gguf"
+  "Spark-X2.5-1.7B-Q5_K_M|$MODEL_DIR/Spark-X2.5-1.7B-Q5_K_M.gguf"
+  "Spark-X2.5-1.7B-Q4_K_M|$MODEL_DIR/Spark-X2.5-1.7B-Q4_K_M.gguf"
+  "Spark-X2.5-1.7B-Q3_K_M|$MODEL_DIR/Spark-X2.5-1.7B-Q3_K_M.gguf"
+  "Spark-X2.5-1.7B-Q2_K|$MODEL_DIR/Spark-X2.5-1.7B-Q2_K.gguf"
+  "Spark-X2.5-1.7B-IQ2_XS|$MODEL_DIR/Spark-X2.5-1.7B-IQ2_XS.gguf"
+  "Spark-X2.5-1.7B-IQ1_M|$MODEL_DIR/Spark-X2.5-1.7B-IQ1_M.gguf"
+  "Spark-X2.5-1.7B-Q1_0|$MODEL_DIR/Spark-X2.5-1.7B-Q1_0.gguf"
+)
+
+for item in "${models[@]}"; do
+  label="${item%%|*}"
+  model="${item#*|}"
+  echo "perplexity $label"
+  timeout 900 "$PPL" \
+    -m "$model" \
+    -f "$CALIBRATION_FILE" \
+    -c 512 \
+    -b 512 \
+    --chunks 4 \
+    -t "$THREADS" \
+    -tb "$THREADS" \
+    -ngl 0 \
+    --device none \
+    --no-warmup \
+    --log-verbosity 1 \
+    >"$LOGDIR/$label.log" 2>&1 || true
+done
+
+python3 "${SUMMARIZER:-$WORKSPACE_ROOT/reproducibility/summarize_ppl.py}" "$LOGDIR" "$OUTDIR/perplexity-summary.tsv"
+echo "perplexity artifacts: $OUTDIR"

reproducibility/quantize_ladder.sh

@@ -0,0 +1,49 @@
+#!/usr/bin/env bash
+set -euo pipefail
+
+SCRIPT_DIR="$(cd -- "$(dirname -- "${BASH_SOURCE[0]}")" && pwd)"
+PACKAGE_ROOT="$(cd -- "$SCRIPT_DIR/.." && pwd)"
+WORKSPACE_ROOT="${WORKSPACE_ROOT:-$PACKAGE_ROOT}"
+LLAMA_CPP="${LLAMA_CPP:-$WORKSPACE_ROOT/tools-llama.cpp-spark}"
+QUANTIZER="${QUANTIZER:-$LLAMA_CPP/build/bin/llama-quantize}"
+SOURCE="${SOURCE:-$WORKSPACE_ROOT/source-official-bf16-1.7b/Spark-X2.5-1.7B.gguf}"
+IMATRIX="${IMATRIX:-$SCRIPT_DIR/spark25_1.7b_combined.imatrix.gguf}"
+OUTDIR="${OUTDIR:-$PACKAGE_ROOT}"
+LOGDIR="${LOGDIR:-$WORKSPACE_ROOT/reports/spark-1.7b/quantize-logs}"
+THREADS="${THREADS:-64}"
+
+[[ -s "$SOURCE" ]] || { echo "Missing SOURCE: $SOURCE" >&2; exit 1; }
+[[ -x "$QUANTIZER" ]] || { echo "Missing QUANTIZER: $QUANTIZER" >&2; exit 1; }
+[[ -s "$IMATRIX" ]] || { echo "Missing IMATRIX: $IMATRIX" >&2; exit 1; }
+
+mkdir -p "$OUTDIR" "$LOGDIR"
+
+run_quant() {
+  local type="$1"
+  local suffix="$2"
+  local output="$OUTDIR/Spark-X2.5-1.7B-${suffix}.gguf"
+  local log="$LOGDIR/${suffix}.log"
+
+  if [[ -s "$output" ]]; then
+    echo "skip $suffix (already exists)"
+    return 0
+  fi
+
+  echo "start $suffix"
+  if [[ "$type" == "Q8_0" ]]; then
+    "$QUANTIZER" "$SOURCE" "$output" "$type" "$THREADS" >"$log" 2>&1
+  else
+    "$QUANTIZER" --imatrix "$IMATRIX" "$SOURCE" "$output" "$type" "$THREADS" >"$log" 2>&1
+  fi
+  echo "done $suffix"
+}
+
+run_quant Q8_0 Q8_0
+run_quant Q6_K Q6_K
+run_quant Q5_K_M Q5_K_M
+run_quant Q4_K_M Q4_K_M
+run_quant Q3_K_M Q3_K_M
+run_quant Q2_K Q2_K
+run_quant IQ2_XS IQ2_XS
+run_quant IQ1_M IQ1_M
+run_quant Q1_0 Q1_0

reproducibility/smoke_test_ladder.sh

@@ -0,0 +1,49 @@
+#!/usr/bin/env bash
+set -u
+
+SCRIPT_DIR="$(cd -- "$(dirname -- "${BASH_SOURCE[0]}")" && pwd)"
+PACKAGE_ROOT="$(cd -- "$SCRIPT_DIR/.." && pwd)"
+LLAMA_CPP="${LLAMA_CPP:-$PACKAGE_ROOT/../tools-llama.cpp-spark}"
+CLI="${CLI:-$LLAMA_CPP/build/bin/llama-cli}"
+MODEL_DIR="${MODEL_DIR:-$PACKAGE_ROOT}"
+LOGDIR="${LOGDIR:-$PACKAGE_ROOT/../reports/spark-1.7b/smoke-tests-cpu}"
+SUMMARY="${SUMMARY:-$PACKAGE_ROOT/../reports/spark-1.7b/smoke-test-cpu.tsv}"
+
+mkdir -p "$LOGDIR"
+printf 'model\tstatus\tlog\n' > "$SUMMARY"
+
+models=(
+  Spark-X2.5-1.7B-Q8_0.gguf
+  Spark-X2.5-1.7B-Q6_K.gguf
+  Spark-X2.5-1.7B-Q5_K_M.gguf
+  Spark-X2.5-1.7B-Q4_K_M.gguf
+  Spark-X2.5-1.7B-Q3_K_M.gguf
+  Spark-X2.5-1.7B-Q2_K.gguf
+  Spark-X2.5-1.7B-IQ2_XS.gguf
+  Spark-X2.5-1.7B-IQ1_M.gguf
+  Spark-X2.5-1.7B-Q1_0.gguf
+)
+
+for model in "${models[@]}"; do
+  log="$LOGDIR/${model%.gguf}.log"
+  echo "testing $model"
+  if timeout 180 "$CLI" \
+      -m "$MODEL_DIR/$model" \
+      -p 'Trả lời ngắn bằng tiếng Việt: GGUF là gì?' \
+      -n 48 \
+      -c 2048 \
+      -dev none \
+      --single-turn \
+      --simple-io \
+      --no-display-prompt \
+      --temp 0.2 \
+      --top-p 0.95 \
+      --seed 42 \
+      --log-verbosity 1 >"$log" 2>&1; then
+    status=PASS
+  else
+    status=FAIL
+  fi
+  printf '%s\t%s\t%s\n' "$model" "$status" "$log" >> "$SUMMARY"
+  echo "$status $model"
+done

reproducibility/spark25_1.7b_combined.imatrix.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:59825b29e1f0f956f903b74483635dad888b92a7539666adb280414a0a97d4f6
+size 1918688

reproducibility/spark25_1.7b_vn_code_agent.imatrix.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0714c70a5e8646afd87a83cc62255aed90568c75a674cc5c9a5f691dd39480a8
+size 1918624

reproducibility/spark25_1.7b_wiki.imatrix.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c861c45a059447a8a94b1d74e7557c675cc9d2daa8b68c4c88c5f26fd70ae89a
+size 1918624